Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 46,741 to 46,750 of 224,199 articles

Unveiling the TP5 dual binding mechanism and structure-based search for potential dual inhibitors of tubulin and PD-L1.

Physical chemistry chemical physics : PCCP
The dual inhibition of microtubule dynamics and immune checkpoint signaling represents a promising strategy in cancer therapy by simultaneously disrupting cell proliferation and immune evasion. Both αβ-tubulin and dimeric PD-L1 (dPD-L1) are critical ... read more 

Effects of Combining Modified Response Elaboration Training, Semantic Feature Analysis, and Arm Ability Training on Cognitive, Language, and Motor Recovery in Poststroke Broca's Aphasia: A Randomized Controlled Trial.

American journal of speech-language pathology
PURPOSE: Stroke survivors often face problems in language, motor, and cognitive skills because the neural networks for these functions overlap. Consequently, the recovery is complex and requires a multimodal approach. This study examined the interact... read more 

Automatic Discovery of Optimal Discrete Character Models.

Systematic biology
Modeling discrete character evolution in a Markovian framework has become common practice in phylogenetic comparative methods. The increasing size and complexity of these models reflects a trend of analyses to include more taxa and more discrete char... read more 

scDBic: A novel deep learning-based biclustering algorithm for analyzing scRNA-seq data.

Bioinformatics (Oxford, England)
MOTIVATION: Clustering single-cell RNA sequencing (scRNA-seq) data plays a vital role in the study of cellular heterogeneity. Many algorithms have been developed to cluster scRNA-seq data. However, traditional clustering algorithms often fail to capt... read more 

Recent Advances in The Virtual Fields Method for Evaluating and Identifying Tissue Biomechanical Properties and Constitutive Parameters.

Journal of biomechanical engineering
The derivation of material parameters for soft tissues has recently been transformed by advances in full-field measurement techniques providing high-resolution, volume-wide displacement data in soft tissues, either in vivo or in vitro during experime... read more 

Voices of change: associations between vocal markers and symptoms of ADHD - Findings from the LIFE child study.

European child & adolescent psychiatry
In the context of precision psychiatry, voice characteristics in psychiatric disorders have significant potential as diagnostic markers. However, most studies have focused on adults, resulting in a poor understanding of paediatric voice characteristi... read more 

Evaluating deep learning models for pancreatic cancer diagnosis.

Clinical and experimental medicine
Pancreatic cancer is a highly aggressive and often fatal disease, with early detection being a key factor for improving patient survival. Recent advances in artificial intelligence (AI), particularly deep learning, have demonstrated significant poten... read more 

Advancement in peptide-based therapeutics for the treatment of type 2 diabetes mellitus: current progress and future prospects.

Molecular diversity
Diabetes is a chronic medical disorder caused by insufficient production of the hormone insulin by the pancreas. Although there are various treatment options available for controlling diabetes, including non-peptide-based medications, the majority of... read more