Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Maxine Mackintosh"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Polygenic scores (PGSs) are individual-level measures that aggregate the genome-wide genetic predisposition to a given trait. As PGS have predominantly been developed using European-ancestry samples, trait prediction using such European ance
Externí odkaz:
https://doaj.org/article/b872c6b085c24138817477f9d169f41c
Autor:
Faranak Hardcastle, Kate Lyle, Rachel Horton, Gabrielle Samuel, Susie Weller, Lisa Ballard, Rachel Thompson, Luiz Valerio De Paula Trindade, José David Gómez Urrego, Daniel Kochin, Tess Johnson, Nechama Tatz-Wieder, Elizabeth Redrup Hill, Florence Robinson Adams, Yoseph Eskandar, Eli Harriss, Krystal S. Tsosie, Padraig Dixon, Maxine Mackintosh, Lyra Nightingale, Anneke Lucassen
Publikováno v:
Cambridge Prisms: Precision Medicine, Vol 2 (2024)
This article aims to explore the ethical issues arising from attempts to diversify genomic data and include individuals from underserved groups in studies exploring the relationship between genomics and health. We employed a qualitative synthesis des
Externí odkaz:
https://doaj.org/article/f63b0593d76842c6a82001a02dea9bd4
Autor:
Christine M. Cutillo, Karlie R. Sharma, Luca Foschini, Shinjini Kundu, Maxine Mackintosh, Kenneth D. Mandl, MI in Healthcare Workshop Working Group
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-5 (2020)
Machine Intelligence (MI) is rapidly becoming an important approach across biomedical discovery, clinical research, medical diagnostics/devices, and precision medicine. Such tools can uncover new possibilities for researchers, physicians, and patient
Externí odkaz:
https://doaj.org/article/83ce70f92f1146a5ac7b2a83189e0791
Autor:
Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti, Chris Holmes, Ryan Copping, Niels Hagenbuch, Stefanie Biedermann, Jack Noonan, Brieuc Lehmann, Aditi Shenvi, Xuan Vinh Doan, David Leslie, Ginestra Bianconi, Ruben Sanchez-Garcia, Alisha Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
Publikováno v:
Nature Machine Intelligence. 5:13-23
Missing data are an unavoidable complication in many machine learning tasks. When data are `missing at random' there exist a range of tools and techniques to deal with the issue. However, as machine learning studies become more ambitious, and seek to
Autor:
Faranak Hardcastle, Lisa Ballard, Susie Weller, Kate Lyle, Rachel Horton, Rachel Thompson, Gabby Samuel, Luiz Valério de Paula Trindade, José David Gómez Urrego, Daniel Kochin, Tess Johnson, Nechama Tatz-Wieder, Elizabeth Redrup, Florence Emilia Robinson Adams, Yoseph Eskandar, Elinor Harris, Krystal Tsosie, Padraig Dixon, Lyra Nightingale, Maxine Mackintosh, Anneke Lucassen
Advances in technology have resulted in the ability to sequence entire human genomes as a routine, relatively inexpensive, investigation in healthcare. This offers many promises of personalising, stratifying, and targeting healthcare with an understa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53349bc8bdb81fe2434c30b95d4ba4b7
https://doi.org/10.31235/osf.io/myjtd
https://doi.org/10.31235/osf.io/myjtd
Autor:
Shaswath Ganapathi, Jo Palmer, Joseph E. Alderman, Melanie Calvert, Cyrus Espinoza, Jacqui Gath, Marzyeh Ghassemi, Katherine Heller, Francis Mckay, Alan Karthikesalingam, Stephanie Kuku, Maxine Mackintosh, Sinduja Manohar, Bilal A. Mateen, Rubeta Matin, Melissa McCradden, Lauren Oakden-Rayner, Johan Ordish, Russell Pearson, Stephen R. Pfohl, Negar Rostamzadeh, Elizabeth Sapey, Neil Sebire, Viknesh Sounderajah, Charlotte Summers, Darren Treanor, Alastair K. Denniston, Xiaoxuan Liu
Publikováno v:
Nature Medicine. 28:2232-2233
Autor:
Jorgen Engmann, Hannah Knight, Sarah R Deeny, Adam Steventon, Kathryn Dreyer, Maxine Mackintosh, Mai Stafford, Rachel Tesfaye, Sobia Raza
Publikováno v:
The Lancet. Digital health. 3(3)
Autor:
Martin N. Rossor, Kirstie Whitaker, Kenan Direk, Spiros Denaxas, Maxine Mackintosh, Arturo Gonzalez-Izquierdo
Publikováno v:
PDH
Background: Identifying early signs of heterogeneous conditions like dementia is challenging. We used electronic health records (EHR) and data-driven methods in order to represent prodromal dementia as a dynamic temporal network of healthcare events
Publikováno v:
Global Policy. 8:46-59
This article develops a taxonomy of health care programmes, and assesses whether or not these programmes represent a viable option for addressing key health policy objectives, including efficiency, equity and sustainable financing. A broad literature
Autor:
Robert W Aldridge, Kenan Direk, Kirstie Whitaker, Arturo Gonzalez-Izquierdo, Maxine Mackintosh, Elizabeth Ford, Martin N. Rossor, Spiros Denaxas
Publikováno v:
The Lancet. 394:S70
Background Over the past decade, numerous national dementia policies and incentive schemes have been introduced in the UK. However, the effects of these initiatives are challenging to assess because of their overlapping nature. We aimed to assess the