Results 231 to 240 of about 1,296,730 (297)

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

Advanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song   +6 more
wiley   +1 more source

A Biomarker‐Driven Ovary–Endometrium Organ‐on‐a‐Chip Mimicking 3D Multicellular Complexity and Menstrual Cyclicity for Predicting Reproductive Toxicity

Advanced Science, EarlyView.
We present a dual‐organ, biomarker‐integrated ovaryendometrium organ‐on‐a‐chip that recapitulates 3D tissue complexity, menstrual cycle dynamics, and hormonal crosstalk. This platform enables real‐time, cell‐typespecific fluorescent readouts of reproductive toxicity using ANGPTL4 and SERPINB2 as early‐response reporters.
Soo‐Rim Kim, Eun‐kyung Min, Choon‐Mi Lee, Chan Hum Park, Byung‐Chul Oh, YunJae Jung, In‐Sun Hong   +6 more
wiley   +1 more source

A vision-language foundation model for Alzheimer's disease diagnosis using MRI and clinical data. [PDF]

Alzheimers Dement
Lin PJ, Jiang Z, Liu Y, Li W, Qi Y, Sun J, Ni S, Shu L, Xia M, Toga AW, Alzheimer's Disease Neuroimaging Initiative, for the Health and Aging Brain Study (HABS‐HD) Study Team.   +11 more
europepmc   +1 more source

Promoting agency and communication through powered mobility: a single-group, repeated measures intervention using the explorer mini in toddlers with motor disabilities. [PDF]

Front Rehabil Sci
Liesbeth G, Ingraham KA, Zaino NL, Hoffman ME, Mizrahi JC, Sinclair AN, Woo BY, Fragomeni A, Meltzoff AN, Steele KM, Feldner HA, Kuhl PK.   +11 more
europepmc   +1 more source

Large Language Model-Based Text Recognition and Structured Data Extraction for Dietary Surveys. [PDF]

China CDC Wkly
Guan F, Niu R, Huang F, Zhang X, Wei Y, Zhang J, Jia X, Ouyang Y, Bai J, Su C, Li L, Du W, Liu H, Wang H.   +13 more
europepmc   +1 more source