Results 171 to 180 of about 154,845 (263)
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Microstructure.jl: A Julia package for probabilistic microstructure model fitting with diffusion MRI. [PDF]
Gong T, Yendiki A.
europepmc +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
A Wasserstein-Space-Based Framework for Processing Fiber Orientation Geometry in Diffusion MRI. [PDF]
Nie X, Shi Y.
europepmc +1 more source
ABSTRACT Management of cerebral vasculopathy in sickle cell anemia (SCA) includes standard‐care, that is, chronic transfusion (CT) or hydroxyurea, and hematopoietic cell transplantation (HCT). DREPAGREFFE‐1 (December 2010/June 2013), a French multicenter trial, was the first prospective trial comparing standard‐care to match sibling donor (MSD)‐HCT in ...
Francoise Bernaudin +40 more
wiley +1 more source
Characterizing the Diffusion Properties of Prostate Tissue Using Paired MR Microscopy and Multidimensional Diffusion MRI. [PDF]
Phipps A +7 more
europepmc +1 more source
Expanding the Phenotype of TUFM‐Related Combined Oxidative Phosphorylation Deficiency 4
ABSTRACT Combined oxidative phosphorylation deficiency 4 (COXPD4) is a rare mitochondrial condition caused by biallelic deleterious variants in the nuclear‐encoded gene TUFM. To date, most individuals with COXPD4 have presented with encephalopathy, hypotonia, and abnormal brain imaging. Many of the reported individuals died in infancy. We aim to expand
Noémie Villeneuve‐Cloutier +2 more
wiley +1 more source
<i>TORTOISEV4</i>: Reimagining the NIH diffusion MRI processing pipeline. [PDF]
Irfanoglu MO +4 more
europepmc +1 more source
ABSTRACT Griscelli Syndrome Type 2 (GS2) is a rare autosomal recessive disorder caused by pathogenic mutations in the RAB27A gene. Typically, it is characterized by cutaneous hypopigmentation, immunodeficiency, with or without neurological abnormalities secondary to hemophagocytic lymphohistiocytosis (HLH). Without treatment, GS2 often results in fatal
Dzhoy Papingi +6 more
wiley +1 more source

