Results 251 to 260 of about 549,710 (321)
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
Bayesian statistics and clinical trial designs for human cells and tissue products for regulatory approval. [PDF]
Jokura Y, Yano K, Watanabe N, Yamato M.
europepmc +1 more source
Abstract Premise Species of Deuterocohnia (17 spp.) show extraordinary variation in elevation (0–3900 m a.s.l.) and growth forms, and many have narrow geographic distributions in the west‐central Andes and the Peru‐Chile coast. Previous research using few plastid and nuclear loci failed to produce well‐resolved or supported phylogenies.
Bing Li +5 more
wiley +1 more source
Hub genes and diagnostic model associated with mitochondrial function in Alzheimer's disease
Alzheimer's disease (AD) is the most common neurodegenerative disorder, and mitochondrial dysfunction has been confirmed in AD patients and mouse models. However, the pathogenic genes associated with AD and early diagnostic methods based on mitochondrial function remain to be explored.
Xuchao Zhu, Ling Zhang, Chuan Qin
wiley +1 more source
K2-ABC: Approximate Bayesian Computation with Infinite Dimensional Summary Statistics via Kernel Embeddings [PDF]
Mijung Park +2 more
openalex
Objective Age of symptom onset is highly variable in familial frontotemporal lobar degeneration (f‐FTLD). Accurate prediction of onset would inform clinical management and trial enrollment. Prior studies indicate that individualized maps of brain atrophy can predict conversion to dementia in f‐FTLD.
Shubir Dutt +82 more
wiley +1 more source
Objective The optimal treatment for distal medium vessel occlusion (DMVO) stroke remains uncertain, and evidence comparing endovascular therapy (EVT) with medical management (MM) is limited. We aimed to develop and validate a predictive modeling tool to assess individual treatment benefit in DMVO stroke using explainable counterfactual treatment ...
Mohamed F. Doheim +14 more
wiley +1 more source
Variational Bayesian labeled multi-Bernoulli filter with unknown sensor noise statistics
Hao Qiu, Gaoming Huang, Jun Gao
openalex +1 more source

