Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Kristofer, Linton-Reid"'
Autor:
Jennifer F. Barcroft, Kristofer Linton-Reid, Chiara Landolfo, Maya Al-Memar, Nina Parker, Chris Kyriacou, Maria Munaretto, Martina Fantauzzi, Nina Cooper, Joseph Yazbek, Nishat Bharwani, Sa Ra Lee, Ju Hee Kim, Dirk Timmerman, Joram Posma, Luca Savelli, Srdjan Saso, Eric O. Aboagye, Tom Bourne
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-10 (2024)
Abstract Ultrasound-based models exist to support the classification of adnexal masses but are subjective and rely upon ultrasound expertise. We aimed to develop an end-to-end machine learning (ML) model capable of automating the classification of ad
Externí odkaz:
https://doaj.org/article/92b75ac45e804737b72f77c54a6be285
Autor:
Marc Boubnovski Martell, Kristofer Linton-Reid, Sumeet Hindocha, Mitchell Chen, Paula Moreno, Marina Álvarez‐Benito, Ángel Salvatierra, Richard Lee, Joram M. Posma, Marco A. Calzado, Eric O. Aboagye
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-14 (2024)
Abstract The rich chemical information from tissue metabolomics provides a powerful means to elaborate tissue physiology or tumor characteristics at cellular and tumor microenvironment levels. However, the process of obtaining such information requir
Externí odkaz:
https://doaj.org/article/250c713102de44609ae31891985c0334
Autor:
Sumeet Hindocha, Thomas G. Charlton, Kristofer Linton-Reid, Benjamin Hunter, Charleen Chan, Merina Ahmed, Emily J. Greenlay, Matthew Orton, Catey Bunce, Jason Lunn, Simon J. Doran, Shahreen Ahmad, Fiona McDonald, Imogen Locke, Danielle Power, Matthew Blackledge, Richard W. Lee, Eric O. Aboagye
Publikováno v:
npj Precision Oncology, Vol 6, Iss 1, Pp 1-11 (2022)
Abstract Recurrence occurs in up to 36% of patients treated with curative-intent radiotherapy for NSCLC. Identifying patients at higher risk of recurrence for more intensive surveillance may facilitate the earlier introduction of the next line of tre
Externí odkaz:
https://doaj.org/article/7168c1807161430dbbe4d71ceda5d618
Autor:
Marianna Inglese, Neva Patel, Kristofer Linton-Reid, Flavia Loreto, Zarni Win, Richard J. Perry, Christopher Carswell, Matthew Grech-Sollars, William R. Crum, Haonan Lu, Paresh A. Malhotra, the Alzheimer’s Disease Neuroimaging Initiative, Eric O. Aboagye
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-16 (2022)
Inglese et al. develop a predictive model that computes multi-regional statistical morpho-functional mesoscopic traits from T1-weighted magnetic resonance imaging scans. Their model reliably discriminates people with Alzheimer’s disease-related pat
Externí odkaz:
https://doaj.org/article/516c8e439e694aad9272b31dd5159e63
Autor:
Benjamin Hunter, Mitchell Chen, Prashanthi Ratnakumar, Esubalew Alemu, Andrew Logan, Kristofer Linton-Reid, Daniel Tong, Nishanthi Senthivel, Amyn Bhamani, Susannah Bloch, Samuel V. Kemp, Laura Boddy, Sejal Jain, Shafick Gareeboo, Bhavin Rawal, Simon Doran, Neal Navani, Arjun Nair, Catey Bunce, Stan Kaye, Matthew Blackledge, Eric O. Aboagye, Anand Devaraj, Richard W. Lee
Publikováno v:
EBioMedicine, Vol 86, Iss , Pp 104344- (2022)
Summary: Background: Large lung nodules (≥15 mm) have the highest risk of malignancy, and may exhibit important differences in phenotypic or clinical characteristics to their smaller counterparts. Existing risk models do not stratify large nodules
Externí odkaz:
https://doaj.org/article/e2d6538ee7914ff2b7186d71189097c6
Autor:
Sumeet Hindocha, Thomas G. Charlton, Kristofer Linton-Reid, Benjamin Hunter, Charleen Chan, Merina Ahmed, Emily J. Robinson, Matthew Orton, Shahreen Ahmad, Fiona McDonald, Imogen Locke, Danielle Power, Matthew Blackledge, Richard W. Lee, Eric O. Aboagye
Publikováno v:
EBioMedicine, Vol 77, Iss , Pp 103911- (2022)
Summary: Background: Surveillance is universally recommended for non-small cell lung cancer (NSCLC) patients treated with curative-intent radiotherapy. High-quality evidence to inform optimal surveillance strategies is lacking. Machine learning demon
Externí odkaz:
https://doaj.org/article/338d2d91deec420ba0ba2951aac1baea
Autor:
Sumeet Hindocha, Thomas G. Charlton, Kristofer Linton-Reid, Benjamin Hunter, Charleen Chan, Merina Ahmed, Emily J. Greenlay, Matthew Orton, Catey Bunce, Jason Lunn, Simon J. Doran, Shahreen Ahmad, Fiona McDonald, Imogen Locke, Danielle Power, Matthew Blackledge, Richard W. Lee, Eric O. Aboagye
Publikováno v:
npj Precision Oncology, Vol 6, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/815cf7eb12ec499fb30446882d8a7f08
Autor:
Jennifer F Barcroft, Kristofer Linton-Reid, Chiara Landolfo, Maya Al Memar, Nina Parker, Chris Kyriacou, Maria Munaretto, Martina Fantauzzi, Nina Cooper, Joseph Yazbek, Nishat Bharwani, Sa ra Lee, Ju Hee Kim, Dirk Timmerman, Joram M. Posma, Luca Savelli, Srdjan Saso, Eric O. Aboagye, Tom Bourne
BackgroundOvarian cancer remains the deadliest of all gynaecological cancers. Ultrasound-based models exist to support the classification of adnexal masses but are dependent on human assessment of features on ultrasound. Therefore, we aimed to develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f07df520ec17611b2bc357439863981c
https://doi.org/10.2139/ssrn.4427456
https://doi.org/10.2139/ssrn.4427456
Autor:
Haonan Lu, Georg Wengert, Hantao Lou, Reema Paudel, Naina Patel, Saral Desai, Bill Crum, Kristofer Linton-Reid, Mitchell Chen, Dongyang Li, Jacey Ip, Francesco Mauri, David J. Pinato, Andrea Rockall, Susan J. Copley, Sadaf Ghaem-Maghami, Eric O. Aboagye
Publikováno v:
Cancer Research. 83:600-600
Tertiary lymphoid structure (TLS) is an ectopic lymphoid organ found in some tumors. The presence of TLS is recently proposed as a predictive biomarker for immune checkpoint inhibitors (ICI) in mutation-driven tumors. It is also associated with progn
Autor:
Marianna, Inglese, Neva, Patel, Kristofer, Linton-Reid, Flavia, Loreto, Zarni, Win, Richard J, Perry, Christopher, Carswell, Matthew, Grech-Sollars, William R, Crum, Haonan, Lu, Paresh A, Malhotra, Gail, Li
Alzheimer's disease, the most common cause of dementia, causes a progressive and irreversible deterioration of cognition that can sometimes be difficult to diagnose, leading to suboptimal patient care.We developed a predictive model that computes mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67aff9a1a3ef401d67561c90b2cfb339
http://hdl.handle.net/10044/1/97726
http://hdl.handle.net/10044/1/97726