Results 191 to 200 of about 51,347 (262)

Transcriptome‐Based Classification of Resected Pancreatic Ductal Adenocarcinoma Enhances Prognostic Modelling Accuracy of Overall Survival Following Adjuvant Treatment

International Journal of Cancer, EarlyView.
Outcomes after resection of pancreatic ductal adenocarcinoma remain highly variable, and existing prognostic models lack sufficient accuracy. Here, the authors aimed to improve survival prediction by integrating transcriptome‐based subtyping into a validated clinical model and applying it to a multicenter real‐world cohort of fresh‐frozen resection ...
Marjolein F. Lansbergen, Vincent R. Lanting, Paul Manoukian, Marc G. Besselink, Geert Kazemier, Ignace H. J. T. de Hingh, Mike S. L. Liem, Casper H. J. van Eijck, Erwin van der Harst, Vincent E. de Meijer, Ronald M. van Dam, Martijn W. J. Stommel, Jan Koster, Michael W. T. Tanck, Arantza Fariña Sarasqueta, Joanne Verheij, Frederike Dijk, Johanna W. Wilmink, Maarten F. Bijlsma, Hanneke W. M. van Laarhoven, for the Dutch Pancreatic Cancer Group   +20 more
wiley   +1 more source

FreeSurfer-Based MRI Volumetry Reveals Thalamic and Hippocampal Atrophy as Significant Correlates of Disability in Multiple Sclerosis. [PDF]

Medicina (Kaunas)
Juković M, Stošić S, Kostić D, Sakalaš L, Basta-Nikolić M, Stojanović DB.   +5 more
europepmc   +1 more source

Molecular Tumor Boards in Malignant Melanoma: Uncovering Challenges and Opportunities in a Bicenter Retrospective Analysis in Germany

International Journal of Cancer, EarlyView.
Molecular tumor boards (MTB), interdisciplinary teams that use tumor genomic data to guide personalized treatment decisions, have emerged as a promising strategy in melanoma care, although their real‐world clinical impact remains uncertain. This retrospective study evaluated advanced melanoma patients to assess molecularly guided treatment ...
Glenn Geidel, Theresa Lowinus, Patrick Metzger, Rebecca Czurda, Vincent Schipperges, Ulrike Paul, Alessandra Rünger, Julian Kött, Isabel Heidrich, Saskia Lehr, Julia Kühn, Heiko Becker, Cornelius Miething, Martin Werner, Silke Laßmann, Justus Duyster, Tilman Brummer, Ronald Simon, Winfried Alsdorf, Maximilian Christopeit, Carsten Bokemeyer, Kilian Eyerich, Stefan W. Schneider, David Rafei, Melanie Börries, Frank Meiss, Christoffer Gebhardt   +26 more
wiley   +1 more source

Lysosomal cholesteryl ester hydrolysis drives white matter repair by reprogramming microglia into a novel reparative state. [PDF]

J Neuroinflammation
Hu Y, Tang K, Hu H, Mi H, Li X, Wang H, Liu J, Xia Y, Huang W, Kirchhoff F, Xiao GD, Jia J, Cheng J.   +12 more
europepmc   +1 more source

The 9th Edition of the UICC TNM Classification of Malignant Tumours: Updates and Rationale for Change

International Journal of Cancer, EarlyView.
ABSTRACT The standard for assessing and recording the extent of the tumour, a necessity for most malignancies, is the Tumour Node Metastases (TNM) classification. The Union for International Cancer Control (UICC) TNM committee has defined this since the early 1950s.
James D. Brierley, Liesbet J. Van Eycken, Meredith E. Giuliani, Brian A. Rous, Shao Hui Huang, Hisao Asamura, Mary K. Gospodarowicz, Anne W. Lee, Brian O'Sullivan   +8 more
wiley   +1 more source

Linguistic diversity in machine learning training data: Content analysis of English and Finnish soundscape descriptions in audio captioning. [PDF]

PLoS One
Hekanaho L, Tuuri E, Surakka M, Hirvonen M.   +3 more
europepmc   +1 more source

Polymer informatics: Integrating data‐driven strategies, advanced machine learning, and automated synthesis for next‐generation polymer design

InfoScience, EarlyView.
Designing new polymers for applications such as sustainable plastics, biomaterials, and 3D printing has traditionally been slow and expensive, relying heavily on trial‐and‐error experiments. This review shows how polymer informatics—the integration of large polymer databases, machine‐learning models, and automated robotic synthesis—enables fast ...
Md. Saiful Islam, Tamanna Hoque, Junied Islam Shuvo, Sheta Roy Tori, Sadit Bihongo Malitha, Md. Zahangir Alam, A. M. Sarwaruddin Chowdhury   +6 more
wiley   +1 more source

BindPred: a framework for predicting protein-protein binding affinity from language model embeddings. [PDF]

Bioinformatics
Piao H, Boorla VS, Santra S, Maranas CD.
europepmc   +1 more source

Medical Reasoning With Large Language Models: A Systematic Review and Evaluation

iNew Medicine, EarlyView.
ABSTRACT Large language models (LLMs) have achieved strong performance on medical exam–style tasks, motivating growing interest in their deployment in real‐world clinical settings. However, clinical decision‐making is inherently safety‐critical, context‐dependent, and conducted under evolving evidence.
Xiaohan Ren, Chenxiao Fan, Wenyin Ma, Hongliang He, Chongming Gao, Xiaoyan Zhao, Fuli Feng   +6 more
wiley   +1 more source