Results 181 to 190 of about 1,593,393 (303)
Liver Transplantation Following Immune Checkpoint Inhibitor Therapy: What Do We Need to Know from Clinical and Immunological Perspective? [PDF]
Cho HS, Lee SK.
europepmc +1 more source
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
Allograft Rejection and the Latent HIV Reservoir in Kidney Transplant Recipients with HIV. [PDF]
Sulaiman A +35 more
europepmc +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Immuno-imaging in solid organ transplantation. [PDF]
Maas RJF +7 more
europepmc +1 more source
Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu +4 more
wiley +1 more source
Antibody–drug conjugates (ADCs) transform breast cancer therapy, yet resistance limits their durability. Emerging evidence reveals that ADC failure is not solely tumor‐intrinsic but shaped by dynamic tumor–microenvironment interactions that alter drug delivery, processing, and response.
Minji Seo, Jangsoon Lee, Naoto T. Ueno
wiley +1 more source
Application of machine learning in the research progress of post-kidney transplant rejection. [PDF]
Guo YP, Wen Q, Wang YY, Hang G, Chen B.
europepmc +1 more source

