🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 16 (from laksa195)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa016.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.bbc.com/news/articles/cy4w10y8703o\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.bbc.com/news/articles/cy4w10y8703o\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.bbc.com\/news\/articles\/cy4w10y8703o","crawl_time":1773227911,"first_indexed_time":0,"http_code":200,"src_unparsed":"com,bbc!www,\/news\/articles\/cy4w10y8703o s443","src_root_hash":"1643509356818581016","history_drop_reason":null,"meta_title":"How an AI tool is helping doctors prescribe antidepressants","meta_descriptions":["The University of Oxford project looks at data about depression alongside a patients' personal information."],"attrs_boilerpipe_text":"5 hours ago\nAlastair Fee\nSouth of England health correspondent\nBBC\nHenry Winchester says the study helped find an antidepressant that helped him\nA tool that uses artificial intelligence has been shown to effectively help doctors prescribe antidepressants.\nDeveloped by the University of Oxford, it looks at all available data about depression alongside a patients' personal information, including their preferences for things like what side effects they can live with.\nThe tool predicts the best medicine, and in a major international trial researchers demonstrated doctors can then better tailor the right drug to people with depression.\nIt can currently take years to select the correct treatment and it is estimated that about 80% of the millions of people prescribed antidepressants stop their medication within a few weeks.\nSince university, 45-year-old Henry Winchester from Bristol, has lived with bouts of depression.\n\"It has been very challenging at times. I get quite bad anxiety about things. I can get in quite a low mood about things,\" he said.\n\"That can limit how much I can do with my life, there's a lot of things that I'd like to do but I can't because I feel that I'm held back by my brain.\"\nHe is one of 500 adults that have Major Depressive Disorder (MDD) to take part in the trial in the UK, Brazil and Canada\nWinchester said: \"It involved competing a survey, that was quite interesting, a lot of questions about my health and the side effects I didn't want to have.\n\"And then there was quite an exciting moment when it finally revealed the antidepressant that suited me best.\"\nNIHR Research Professor Andrea Cipriani is an honorary consultant psychiatrist at Oxford Health NHS Foundation Trust\nResearch Professor Andrea Cipriani, from the University of Oxford, was lead investigator of the Personalising Antidepressant Treatment for Unipolar Depression Combining Individual Choices, Risks and Big Data (PETRUSHKA) study that was conducted across 47 sites around the world.\n\"The PETRUSHKA tool is a revolutionary approach, because until now when we prescribe an antidepressant to a person with depression, we use trial and error based on the experience of the clinician,\" he said.\n\"The trial and error is a lengthy process and also it is harmful for patients.\"\nCipriani said the findings show that people whose antidepressant was selected using the AI tool were much more likely to stick with their treatment.\nHe said: \"The results of the tool are outstanding because if we use the PETRUSHKA tool, we increase by 40% the probability of continuing the medication.\n\"And this is important because continuing the medication means that the medication is effective and tolerable.\n\"And if you continue taking the medication the symptoms improve and this is what we demonstrated in the PETRUSHKA trial, reducing both depressive and anxiety symptoms.\"\nHenry Winchester took part in the study by answering a series of questions\nUntil he took part in the study, Winchester said he spent five years trying different medications but found the side effects too severe.\n\"I feel much more optimistic because I feel like, a lot of the things that bothered me before, don't bother me as much now,\" he said.\n\"I just have an inner confidence that I've never really had before.\"\nThe findings, that have been published in the Journal of American Medical Association, are the first time a mental health clinical prediction tool has been demonstrated as effective.\nThe team now hope it can be applied to other mental health conditions with the ambition to have it rolled out to GPs UK wide.\nMore on this story\nRelated Links","attrs_markdown":"[Skip to content](https:\/\/www.bbc.com\/news\/articles\/cy4w10y8703o#main-content)\n\n- [Home](https:\/\/www.bbc.com\/)\n- [News](https:\/\/www.bbc.com\/news)\n- [Sport](https:\/\/www.bbc.com\/sport)\n- [Business](https:\/\/www.bbc.com\/business)\n- [Technology](https:\/\/www.bbc.com\/technology)\n- [Health](https:\/\/www.bbc.com\/health)\n- [Culture](https:\/\/www.bbc.com\/culture)\n- [Arts](https:\/\/www.bbc.com\/arts)\n- [Travel](https:\/\/www.bbc.com\/travel)\n- [Earth](https:\/\/www.bbc.com\/future-planet)\n- [Audio](https:\/\/www.bbc.com\/audio)\n- [Video](https:\/\/www.bbc.com\/video)\n- [Live](https:\/\/www.bbc.com\/live)\n\n- [Home](https:\/\/www.bbc.com\/home)\n- [News](https:\/\/www.bbc.com\/news)\n  - [US & Canada](https:\/\/www.bbc.com\/news\/us-canada)\n  - [UK](https:\/\/www.bbc.com\/news\/uk)\n    - [UK Politics](https:\/\/www.bbc.com\/news\/politics)\n    - [England](https:\/\/www.bbc.com\/news\/england)\n    - [N. 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He has short dark hair and stubble. He is wearing a black coat and a brown jumper. He is sitting in front of a brown stone building with a path and grass.](https:\/\/ichef.bbci.co.uk\/news\/480\/cpsprodpb\/e2ba\/live\/84327be0-1c92-11f1-bbce-43d195bf2b4f.jpg.webp)BBC\n\nHenry Winchester says the study helped find an antidepressant that helped him\n\nA tool that uses artificial intelligence has been shown to effectively help doctors prescribe antidepressants.\n\nDeveloped by the University of Oxford, it looks at all available data about depression alongside a patients' personal information, including their preferences for things like what side effects they can live with.\n\nThe tool predicts the best medicine, and in a major international trial researchers demonstrated doctors can then better tailor the right drug to people with depression.\n\nIt can currently take years to select the correct treatment and it is estimated that about 80% of the millions of people prescribed antidepressants stop their medication within a few weeks.\n\nSince university, 45-year-old Henry Winchester from Bristol, has lived with bouts of depression.\n\n\"It has been very challenging at times. I get quite bad anxiety about things. I can get in quite a low mood about things,\" he said.\n\n\"That can limit how much I can do with my life, there's a lot of things that I'd like to do but I can't because I feel that I'm held back by my brain.\"\n\nHe is one of 500 adults that have Major Depressive Disorder (MDD) to take part in the trial in the UK, Brazil and Canada\n\nWinchester said: \"It involved competing a survey, that was quite interesting, a lot of questions about my health and the side effects I didn't want to have.\n\n\"And then there was quite an exciting moment when it finally revealed the antidepressant that suited me best.\"\n\n![](https:\/\/static.files.bbci.co.uk\/bbcdotcom\/web\/20260309-121341-5f81352518-web-2.41.1-2\/grey-placeholder.png)![Professor Andrea Cipriani standing outside Oxford Health Clinical Research Facility. He has short dark hair and is wearing a grey suit with a white shirt and a blue tie. There is an NIHR Oxford Health Clinical Research Facility sign. The building is brown with grass in front.](https:\/\/ichef.bbci.co.uk\/news\/480\/cpsprodpb\/cb88\/live\/eb8746f0-1c87-11f1-bbce-43d195bf2b4f.jpg.webp)\n\nNIHR Research Professor Andrea Cipriani is an honorary consultant psychiatrist at Oxford Health NHS Foundation Trust\n\nResearch Professor Andrea Cipriani, from the University of Oxford, was lead investigator of the Personalising Antidepressant Treatment for Unipolar Depression Combining Individual Choices, Risks and Big Data (PETRUSHKA) study that was conducted across 47 sites around the world.\n\n\"The PETRUSHKA tool is a revolutionary approach, because until now when we prescribe an antidepressant to a person with depression, we use trial and error based on the experience of the clinician,\" he said.\n\n\"The trial and error is a lengthy process and also it is harmful for patients.\"\n\nCipriani said the findings show that people whose antidepressant was selected using the AI tool were much more likely to stick with their treatment.\n\nHe said: \"The results of the tool are outstanding because if we use the PETRUSHKA tool, we increase by 40% the probability of continuing the medication.\n\n\"And this is important because continuing the medication means that the medication is effective and tolerable.\n\n\"And if you continue taking the medication the symptoms improve and this is what we demonstrated in the PETRUSHKA trial, reducing both depressive and anxiety symptoms.\"\n\n![](https:\/\/static.files.bbci.co.uk\/bbcdotcom\/web\/20260309-121341-5f81352518-web-2.41.1-2\/grey-placeholder.png)![A man with short dark hair sat at a desk with a laptop and monitor. He is wearing a brown jumper. The room has white walls and the desk is made from light wood. There is a phone on the desk.](https:\/\/ichef.bbci.co.uk\/news\/480\/cpsprodpb\/1260\/live\/71422800-1c92-11f1-bbce-43d195bf2b4f.jpg.webp)\n\nHenry Winchester took part in the study by answering a series of questions\n\nUntil he took part in the study, Winchester said he spent five years trying different medications but found the side effects too severe.\n\n\"I feel much more optimistic because I feel like, a lot of the things that bothered me before, don't bother me as much now,\" he said.\n\n\"I just have an inner confidence that I've never really had before.\"\n\nThe findings, that have been published in the Journal of American Medical Association, are the first time a mental health clinical prediction tool has been demonstrated as effective.\n\nThe team now hope it can be applied to other mental health conditions with the ambition to have it rolled out to GPs UK wide.\n\n*You can follow* [*BBC Oxfordshire*](https:\/\/www.bbc.co.uk\/news\/england\/oxford) *on* [*Facebook*](https:\/\/www.facebook.com\/bbcoxford\/)*,* [X](https:\/\/twitter.com\/bbcoxford)*, or* [*Instagram*](https:\/\/www.instagram.com\/bbcoxford)*.*\n\nMore on this story\n\n[Study finds four in 10 in UK would use AI counsellor](https:\/\/www.bbc.co.uk\/news\/articles\/cy4wwjmjp4no)\n\n[AI chatbots pose 'dangerous' risk when giving medical advice, study suggests](https:\/\/www.bbc.co.uk\/news\/articles\/c3093gjy2ero)\n\n[How AI is being used to support positive mental health](https:\/\/www.bbc.co.uk\/videos\/c1d6kyegl2wo)\n\n[AI therapy chatbot 'works best with emotion'](https:\/\/www.bbc.co.uk\/news\/articles\/c5yj8rd2dnmo)\n\n[The rise of AI therapy](https:\/\/www.bbc.co.uk\/sounds\/play\/m002k3hk)\n\nRelated Links\n\n[PETRUSHKA Trial](https:\/\/www.psych.ox.ac.uk\/research\/research-groups\/evidence-based-mental-health\/petrushka-trial)\n\n[University of Oxford](https:\/\/www.ox.ac.uk\/)\n***\n- [Home](https:\/\/www.bbc.com\/)\n- [News](https:\/\/www.bbc.com\/news)\n- 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Index](https:\/\/www.bbc.com\/pages\/content-index)\n- [Set Preferred Source](https:\/\/www.bbc.com\/future\/article\/20260128-how-to-make-google-put-trusted-sources-up-top-when-you-search)\n\nCopyright 2026 BBC. All rights reserved. The BBC is not responsible for the content of external sites. [**Read about our approach to external linking.**](https:\/\/www.bbc.co.uk\/editorialguidelines\/guidance\/feeds-and-links)","attrs_readable_markdown":"5 hours ago\n\nAlastair FeeSouth of England health correspondent\n\n![](https:\/\/static.files.bbci.co.uk\/bbcdotcom\/web\/20260309-121341-5f81352518-web-2.41.1-2\/grey-placeholder.png)![BBC Henry Winchester sat on a bench. He has short dark hair and stubble. He is wearing a black coat and a brown jumper. He is sitting in front of a brown stone building with a path and grass.](https:\/\/ichef.bbci.co.uk\/news\/480\/cpsprodpb\/e2ba\/live\/84327be0-1c92-11f1-bbce-43d195bf2b4f.jpg.webp)BBC\n\nHenry Winchester says the study helped find an antidepressant that helped him\n\nA tool that uses artificial intelligence has been shown to effectively help doctors prescribe antidepressants.\n\nDeveloped by the University of Oxford, it looks at all available data about depression alongside a patients' personal information, including their preferences for things like what side effects they can live with.\n\nThe tool predicts the best medicine, and in a major international trial researchers demonstrated doctors can then better tailor the right drug to people with depression.\n\nIt can currently take years to select the correct treatment and it is estimated that about 80% of the millions of people prescribed antidepressants stop their medication within a few weeks.\n\nSince university, 45-year-old Henry Winchester from Bristol, has lived with bouts of depression.\n\n\"It has been very challenging at times. I get quite bad anxiety about things. I can get in quite a low mood about things,\" he said.\n\n\"That can limit how much I can do with my life, there's a lot of things that I'd like to do but I can't because I feel that I'm held back by my brain.\"\n\nHe is one of 500 adults that have Major Depressive Disorder (MDD) to take part in the trial in the UK, Brazil and Canada\n\nWinchester said: \"It involved competing a survey, that was quite interesting, a lot of questions about my health and the side effects I didn't want to have.\n\n\"And then there was quite an exciting moment when it finally revealed the antidepressant that suited me best.\"\n\n![](https:\/\/static.files.bbci.co.uk\/bbcdotcom\/web\/20260309-121341-5f81352518-web-2.41.1-2\/grey-placeholder.png)![Professor Andrea Cipriani standing outside Oxford Health Clinical Research Facility. He has short dark hair and is wearing a grey suit with a white shirt and a blue tie. There is an NIHR Oxford Health Clinical Research Facility sign. The building is brown with grass in front.](https:\/\/ichef.bbci.co.uk\/news\/480\/cpsprodpb\/cb88\/live\/eb8746f0-1c87-11f1-bbce-43d195bf2b4f.jpg.webp)\n\nNIHR Research Professor Andrea Cipriani is an honorary consultant psychiatrist at Oxford Health NHS Foundation Trust\n\nResearch Professor Andrea Cipriani, from the University of Oxford, was lead investigator of the Personalising Antidepressant Treatment for Unipolar Depression Combining Individual Choices, Risks and Big Data (PETRUSHKA) study that was conducted across 47 sites around the world.\n\n\"The PETRUSHKA tool is a revolutionary approach, because until now when we prescribe an antidepressant to a person with depression, we use trial and error based on the experience of the clinician,\" he said.\n\n\"The trial and error is a lengthy process and also it is harmful for patients.\"\n\nCipriani said the findings show that people whose antidepressant was selected using the AI tool were much more likely to stick with their treatment.\n\nHe said: \"The results of the tool are outstanding because if we use the PETRUSHKA tool, we increase by 40% the probability of continuing the medication.\n\n\"And this is important because continuing the medication means that the medication is effective and tolerable.\n\n\"And if you continue taking the medication the symptoms improve and this is what we demonstrated in the PETRUSHKA trial, reducing both depressive and anxiety symptoms.\"\n\n![](https:\/\/static.files.bbci.co.uk\/bbcdotcom\/web\/20260309-121341-5f81352518-web-2.41.1-2\/grey-placeholder.png)![A man with short dark hair sat at a desk with a laptop and monitor. He is wearing a brown jumper. The room has white walls and the desk is made from light wood. There is a phone on the desk.](https:\/\/ichef.bbci.co.uk\/news\/480\/cpsprodpb\/1260\/live\/71422800-1c92-11f1-bbce-43d195bf2b4f.jpg.webp)\n\nHenry Winchester took part in the study by answering a series of questions\n\nUntil he took part in the study, Winchester said he spent five years trying different medications but found the side effects too severe.\n\n\"I feel much more optimistic because I feel like, a lot of the things that bothered me before, don't bother me as much now,\" he said.\n\n\"I just have an inner confidence that I've never really had before.\"\n\nThe findings, that have been published in the Journal of American Medical Association, are the first time a mental health clinical prediction tool has been demonstrated as effective.\n\nThe team now hope it can be applied to other mental health conditions with the ambition to have it rolled out to GPs UK wide.\n\nMore on this story\n\nRelated Links","meta_canonical":null}

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Boilerpipe Text	5 hours ago Alastair Fee South of England health correspondent BBC Henry Winchester says the study helped find an antidepressant that helped him A tool that uses artificial intelligence has been shown to effectively help doctors prescribe antidepressants. Developed by the University of Oxford, it looks at all available data about depression alongside a patients' personal information, including their preferences for things like what side effects they can live with. The tool predicts the best medicine, and in a major international trial researchers demonstrated doctors can then better tailor the right drug to people with depression. It can currently take years to select the correct treatment and it is estimated that about 80% of the millions of people prescribed antidepressants stop their medication within a few weeks. Since university, 45-year-old Henry Winchester from Bristol, has lived with bouts of depression. "It has been very challenging at times. I get quite bad anxiety about things. I can get in quite a low mood about things," he said. "That can limit how much I can do with my life, there's a lot of things that I'd like to do but I can't because I feel that I'm held back by my brain." He is one of 500 adults that have Major Depressive Disorder (MDD) to take part in the trial in the UK, Brazil and Canada Winchester said: "It involved competing a survey, that was quite interesting, a lot of questions about my health and the side effects I didn't want to have. "And then there was quite an exciting moment when it finally revealed the antidepressant that suited me best." NIHR Research Professor Andrea Cipriani is an honorary consultant psychiatrist at Oxford Health NHS Foundation Trust Research Professor Andrea Cipriani, from the University of Oxford, was lead investigator of the Personalising Antidepressant Treatment for Unipolar Depression Combining Individual Choices, Risks and Big Data (PETRUSHKA) study that was conducted across 47 sites around the world. "The PETRUSHKA tool is a revolutionary approach, because until now when we prescribe an antidepressant to a person with depression, we use trial and error based on the experience of the clinician," he said. "The trial and error is a lengthy process and also it is harmful for patients." Cipriani said the findings show that people whose antidepressant was selected using the AI tool were much more likely to stick with their treatment. He said: "The results of the tool are outstanding because if we use the PETRUSHKA tool, we increase by 40% the probability of continuing the medication. "And this is important because continuing the medication means that the medication is effective and tolerable. "And if you continue taking the medication the symptoms improve and this is what we demonstrated in the PETRUSHKA trial, reducing both depressive and anxiety symptoms." Henry Winchester took part in the study by answering a series of questions Until he took part in the study, Winchester said he spent five years trying different medications but found the side effects too severe. "I feel much more optimistic because I feel like, a lot of the things that bothered me before, don't bother me as much now," he said. "I just have an inner confidence that I've never really had before." The findings, that have been published in the Journal of American Medical Association, are the first time a mental health clinical prediction tool has been demonstrated as effective. The team now hope it can be applied to other mental health conditions with the ambition to have it rolled out to GPs UK wide. More on this story Related Links
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He has short dark hair and stubble. He is wearing a black coat and a brown jumper. He is sitting in front of a brown stone building with a path and grass.](https://ichef.bbci.co.uk/news/480/cpsprodpb/e2ba/live/84327be0-1c92-11f1-bbce-43d195bf2b4f.jpg.webp)BBC Henry Winchester says the study helped find an antidepressant that helped him A tool that uses artificial intelligence has been shown to effectively help doctors prescribe antidepressants. Developed by the University of Oxford, it looks at all available data about depression alongside a patients' personal information, including their preferences for things like what side effects they can live with. The tool predicts the best medicine, and in a major international trial researchers demonstrated doctors can then better tailor the right drug to people with depression. It can currently take years to select the correct treatment and it is estimated that about 80% of the millions of people prescribed antidepressants stop their medication within a few weeks. Since university, 45-year-old Henry Winchester from Bristol, has lived with bouts of depression. "It has been very challenging at times. I get quite bad anxiety about things. I can get in quite a low mood about things," he said. "That can limit how much I can do with my life, there's a lot of things that I'd like to do but I can't because I feel that I'm held back by my brain." He is one of 500 adults that have Major Depressive Disorder (MDD) to take part in the trial in the UK, Brazil and Canada Winchester said: "It involved competing a survey, that was quite interesting, a lot of questions about my health and the side effects I didn't want to have. "And then there was quite an exciting moment when it finally revealed the antidepressant that suited me best." ![](https://static.files.bbci.co.uk/bbcdotcom/web/20260309-121341-5f81352518-web-2.41.1-2/grey-placeholder.png)![Professor Andrea Cipriani standing outside Oxford Health Clinical Research Facility. He has short dark hair and is wearing a grey suit with a white shirt and a blue tie. There is an NIHR Oxford Health Clinical Research Facility sign. The building is brown with grass in front.](https://ichef.bbci.co.uk/news/480/cpsprodpb/cb88/live/eb8746f0-1c87-11f1-bbce-43d195bf2b4f.jpg.webp) NIHR Research Professor Andrea Cipriani is an honorary consultant psychiatrist at Oxford Health NHS Foundation Trust Research Professor Andrea Cipriani, from the University of Oxford, was lead investigator of the Personalising Antidepressant Treatment for Unipolar Depression Combining Individual Choices, Risks and Big Data (PETRUSHKA) study that was conducted across 47 sites around the world. "The PETRUSHKA tool is a revolutionary approach, because until now when we prescribe an antidepressant to a person with depression, we use trial and error based on the experience of the clinician," he said. "The trial and error is a lengthy process and also it is harmful for patients." Cipriani said the findings show that people whose antidepressant was selected using the AI tool were much more likely to stick with their treatment. He said: "The results of the tool are outstanding because if we use the PETRUSHKA tool, we increase by 40% the probability of continuing the medication. "And this is important because continuing the medication means that the medication is effective and tolerable. "And if you continue taking the medication the symptoms improve and this is what we demonstrated in the PETRUSHKA trial, reducing both depressive and anxiety symptoms." ![](https://static.files.bbci.co.uk/bbcdotcom/web/20260309-121341-5f81352518-web-2.41.1-2/grey-placeholder.png)![A man with short dark hair sat at a desk with a laptop and monitor. He is wearing a brown jumper. The room has white walls and the desk is made from light wood. There is a phone on the desk.](https://ichef.bbci.co.uk/news/480/cpsprodpb/1260/live/71422800-1c92-11f1-bbce-43d195bf2b4f.jpg.webp) Henry Winchester took part in the study by answering a series of questions Until he took part in the study, Winchester said he spent five years trying different medications but found the side effects too severe. "I feel much more optimistic because I feel like, a lot of the things that bothered me before, don't bother me as much now," he said. "I just have an inner confidence that I've never really had before." The findings, that have been published in the Journal of American Medical Association, are the first time a mental health clinical prediction tool has been demonstrated as effective. The team now hope it can be applied to other mental health conditions with the ambition to have it rolled out to GPs UK wide. You can follow [BBC Oxfordshire](https://www.bbc.co.uk/news/england/oxford) on [Facebook](https://www.facebook.com/bbcoxford/), [X](https://twitter.com/bbcoxford), or [Instagram](https://www.instagram.com/bbcoxford). More on this story [Study finds four in 10 in UK would use AI counsellor](https://www.bbc.co.uk/news/articles/cy4wwjmjp4no) [AI chatbots pose 'dangerous' risk when giving medical advice, study suggests](https://www.bbc.co.uk/news/articles/c3093gjy2ero) [How AI is being used to support positive mental health](https://www.bbc.co.uk/videos/c1d6kyegl2wo) [AI therapy chatbot 'works best with emotion'](https://www.bbc.co.uk/news/articles/c5yj8rd2dnmo) [The rise of AI therapy](https://www.bbc.co.uk/sounds/play/m002k3hk) Related Links [PETRUSHKA Trial](https://www.psych.ox.ac.uk/research/research-groups/evidence-based-mental-health/petrushka-trial) [University of Oxford](https://www.ox.ac.uk/) * - [Home](https://www.bbc.com/) - [News](https://www.bbc.com/news) - [Sport](https://www.bbc.com/sport) - [Business](https://www.bbc.com/business) - [Technology](https://www.bbc.com/technology) - [Health](https://www.bbc.com/health) - [Culture](https://www.bbc.com/culture) - [Arts](https://www.bbc.com/arts) - [Travel](https://www.bbc.com/travel) - [Earth](https://www.bbc.com/future-planet) - [Audio](https://www.bbc.com/audio) - [Video](https://www.bbc.com/video) - [Live](https://www.bbc.com/live) - [Weather](https://www.bbc.com/weather) - [BBC Shop](https://shop.bbc.com/) - [BritBox](https://www.britbox.com/?utm_source=bbc.com&utm_medium=referral&utm_campaign=footer) BBC in other languages ### The BBC is in multiple languages #### Read the BBC In your own language [Oduu Afaan Oromootiin](https://www.bbc.com/afaanoromoo) [Amharic ዜና በአማርኛ](https://www.bbc.com/amharic) [Arabic عربي](https://www.bbc.com/arabic) [Azeri AZƏRBAYCAN](https://www.bbc.com/azeri) [Bangla বাংলা](https://www.bbc.com/bengali) [Burmese မြန်မာ](https://www.bbc.com/burmese) [Chinese 中文网](https://www.bbc.com/zhongwen/simp) [Dari دری](https://www.bbc.com/dari) [French AFRIQUE](https://www.bbc.com/afrique) [Hausa HAUSA](https://www.bbc.com/hausa) [Hindi हिन्दी](https://www.bbc.com/hindi) [Gaelic NAIDHEACHDAN](https://www.bbc.com/naidheachdan) [Gujarati ગુજરાતીમાં સમાચાર](https://www.bbc.com/gujarati) [Igbo AKỤKỌ N’IGBO](https://www.bbc.com/igbo) [Indonesian INDONESIA](https://www.bbc.com/indonesia) [Japanese 日本語](https://www.bbc.com/japanese) [Kinyarwanda GAHUZA](https://www.bbc.com/gahuza) [Kirundi KIRUNDI](https://www.bbc.com/gahuza) [Korean 한국어](https://www.bbc.com/korean) [Kyrgyz Кыргыз](https://www.bbc.com/kyrgyz) [Marathi मराठी](https://www.bbc.com/marathi) [Nepali नेपाली](https://www.bbc.com/nepali) [Noticias para hispanoparlantes](https://www.bbc.com/mundo) [Pashto پښتو](https://www.bbc.com/pashto) [Persian فارسی](https://www.bbc.com/persian) [Pidgin](https://www.bbc.com/pidgin) [Polish PO POLSKU](https://www.bbc.com/polska) [Portuguese BRASIL](https://www.bbc.com/portuguese) [Punjabi ਪੰਜਾਬੀ ਖ਼ਬਰਾਂ](https://www.bbc.com/punjabi) [Russian НА РУССКОМ](https://www.bbc.com/russian) [Serbian NA SRPSKOM](https://www.bbc.com/serbian/lat) [Sinhala සිංහල](https://www.bbc.com/sinhala) [Somali SOMALI](https://www.bbc.com/somali) [Swahili HABARI KWA KISWAHILI](https://www.bbc.com/swahili) [Tamil தமிழில் செய்திகள்](https://www.bbc.com/tamil) [Telugu తెలుగు వార్తలు](https://www.bbc.com/telugu) [Thai ข่าวภาษาไทย](https://www.bbc.com/thai) [Tigrinya ዜና ብትግርኛ](https://www.bbc.com/tigrinya) [Turkish TÜRKÇE](https://www.bbc.com/turkce) [Ukrainian УКРАЇНСЬКA](https://www.bbc.com/ukrainian) [Urdu اردو](https://www.bbc.com/urdu) [Uzbek O'ZBEK](https://www.bbc.com/uzbek) [Vietnamese TIẾNG VIỆT](https://www.bbc.com/vietnamese) [Welsh NEWYDDION](https://www.bbc.com/cymrufyw) [Yoruba ÌRÒYÌN NÍ YORÙBÁ](https://www.bbc.com/yoruba) Follow BBC on: - [Terms of Use](https://www.bbc.com/pages/terms-of-use) - [Subscription Terms](https://www.bbc.com/pages/subscription-terms) - [About the BBC](https://www.bbc.co.uk/aboutthebbc) - [Privacy Policy](https://www.bbc.com/pages/privacy-policy) - [Cookies](https://www.bbc.com/usingthebbc/cookies/) - [Accessibility Help](https://www.bbc.co.uk/accessibility/) - [Contact the BBC](https://www.bbc.co.uk/contact) - [Advertise with us](https://advertising.bbcstudios.com/) - [Do not share or sell my info](https://www.bbc.com/usingthebbc/cookies/how-can-i-change-my-bbc-cookie-settings/) - [BBC.com Help & FAQs](https://help.bbc.com/hc/) - [Content Index](https://www.bbc.com/pages/content-index) - [Set Preferred Source](https://www.bbc.com/future/article/20260128-how-to-make-google-put-trusted-sources-up-top-when-you-search) Copyright 2026 BBC. 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Readable Markdown	5 hours ago Alastair FeeSouth of England health correspondent ![](https://static.files.bbci.co.uk/bbcdotcom/web/20260309-121341-5f81352518-web-2.41.1-2/grey-placeholder.png)![BBC Henry Winchester sat on a bench. He has short dark hair and stubble. He is wearing a black coat and a brown jumper. He is sitting in front of a brown stone building with a path and grass.](https://ichef.bbci.co.uk/news/480/cpsprodpb/e2ba/live/84327be0-1c92-11f1-bbce-43d195bf2b4f.jpg.webp)BBC Henry Winchester says the study helped find an antidepressant that helped him A tool that uses artificial intelligence has been shown to effectively help doctors prescribe antidepressants. Developed by the University of Oxford, it looks at all available data about depression alongside a patients' personal information, including their preferences for things like what side effects they can live with. The tool predicts the best medicine, and in a major international trial researchers demonstrated doctors can then better tailor the right drug to people with depression. It can currently take years to select the correct treatment and it is estimated that about 80% of the millions of people prescribed antidepressants stop their medication within a few weeks. Since university, 45-year-old Henry Winchester from Bristol, has lived with bouts of depression. "It has been very challenging at times. I get quite bad anxiety about things. I can get in quite a low mood about things," he said. "That can limit how much I can do with my life, there's a lot of things that I'd like to do but I can't because I feel that I'm held back by my brain." He is one of 500 adults that have Major Depressive Disorder (MDD) to take part in the trial in the UK, Brazil and Canada Winchester said: "It involved competing a survey, that was quite interesting, a lot of questions about my health and the side effects I didn't want to have. "And then there was quite an exciting moment when it finally revealed the antidepressant that suited me best." ![](https://static.files.bbci.co.uk/bbcdotcom/web/20260309-121341-5f81352518-web-2.41.1-2/grey-placeholder.png)![Professor Andrea Cipriani standing outside Oxford Health Clinical Research Facility. He has short dark hair and is wearing a grey suit with a white shirt and a blue tie. There is an NIHR Oxford Health Clinical Research Facility sign. The building is brown with grass in front.](https://ichef.bbci.co.uk/news/480/cpsprodpb/cb88/live/eb8746f0-1c87-11f1-bbce-43d195bf2b4f.jpg.webp) NIHR Research Professor Andrea Cipriani is an honorary consultant psychiatrist at Oxford Health NHS Foundation Trust Research Professor Andrea Cipriani, from the University of Oxford, was lead investigator of the Personalising Antidepressant Treatment for Unipolar Depression Combining Individual Choices, Risks and Big Data (PETRUSHKA) study that was conducted across 47 sites around the world. "The PETRUSHKA tool is a revolutionary approach, because until now when we prescribe an antidepressant to a person with depression, we use trial and error based on the experience of the clinician," he said. "The trial and error is a lengthy process and also it is harmful for patients." Cipriani said the findings show that people whose antidepressant was selected using the AI tool were much more likely to stick with their treatment. He said: "The results of the tool are outstanding because if we use the PETRUSHKA tool, we increase by 40% the probability of continuing the medication. "And this is important because continuing the medication means that the medication is effective and tolerable. "And if you continue taking the medication the symptoms improve and this is what we demonstrated in the PETRUSHKA trial, reducing both depressive and anxiety symptoms." ![](https://static.files.bbci.co.uk/bbcdotcom/web/20260309-121341-5f81352518-web-2.41.1-2/grey-placeholder.png)![A man with short dark hair sat at a desk with a laptop and monitor. He is wearing a brown jumper. The room has white walls and the desk is made from light wood. There is a phone on the desk.](https://ichef.bbci.co.uk/news/480/cpsprodpb/1260/live/71422800-1c92-11f1-bbce-43d195bf2b4f.jpg.webp) Henry Winchester took part in the study by answering a series of questions Until he took part in the study, Winchester said he spent five years trying different medications but found the side effects too severe. "I feel much more optimistic because I feel like, a lot of the things that bothered me before, don't bother me as much now," he said. "I just have an inner confidence that I've never really had before." The findings, that have been published in the Journal of American Medical Association, are the first time a mental health clinical prediction tool has been demonstrated as effective. The team now hope it can be applied to other mental health conditions with the ambition to have it rolled out to GPs UK wide. More on this story Related Links
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