Latest AI and machine learning research in work force for healthcare professionals.
Accurately characterizing protein-ligand binding, such as binding site, affinity and kinetics, is critical for accelerating drug discovery. However, many existing computational methods face key limitations, including insufficient integration of comprehensive databases, inadequate representation of protein structural dynamics, and incomplete modeling of microscale protein-ligand interactions. To ad...
BACKGROUND: Substance use disorder (SUD) remains a major public health crisis in the United States, with significant challenges in treatment access, retention, and workforce capacity. SUD care teams, including addiction medicine physicians and peer recovery coaches (PRCs), support patients receiving SUD treatment but face heavy workloads and burnout. Artificial intelligence (AI) innovations, parti...
Treatment planning is a multi-disciplinary effort that requires medical decision-making, specialized training, and access to specialized software. Rec...
We present a graph neural network (GNN) based surrogate framework for molecular dynamics simulations that directly predicts atomic displacements and l...
The article discusses technological advancements in mental health care for youth in crisis, addressing workforce shortages and enhancing care delivery...
BACKGROUND AND OBJECTIVES: General purpose vision-language models (VLMs) demonstrate impressive capabilities, but their opaque training on uncurated i...
BACKGROUND: Pediatric emergency departments see a high volume of patients. Given that children often cannot describe their condition and there is a sh...
BACKGROUND: Accurate prediction of the temporal dynamics of biological systems is crucial for informing timely and effective interventions, e.g., in e...
BACKGROUND: Artificial intelligence (AI) is increasingly being integrated into health care to streamline documentation and improve clinician efficienc...
Primary healthcare (PHC) plays an important role in the healthcare system, yet the shortage of qualified primary healthcare physician (PHP) restricts ...
INTRODUCTION: Spontaneous speech is commonly disrupted in persons with Alzheimer's disease (AD) and/or Alzheimer's clinical syndrome (ACS). Importantl...
BACKGROUND: Gestational diabetes mellitus (GDM) affects 15-25% of pregnancies worldwide and poses serious risks of macrosomia, preeclampsia, neonatal ...
BACKGROUND/OBJECTIVE: Ambient artificial intelligence scribing, "ambient AI," is expanding across ambulatory specialties. Despite adoption, the impact...
Atomic force microscopy (AFM) is an advanced tool applied to investigate the mechanical properties of a wide variety of material classes, including so...
The structural dynamics of DNA underpin essential biological processes, yet conventional structural biology methods often obscure conformational heter...
​Soil microbiota is central to agroecosystem sustainability, influencing fertility, plant health, and resilience. Agricultural practices shape these c...
This century, global human health has been marked by a seemingly increasing list of outbreaks and epidemics caused by RNA viruses - masters of rapid e...
Real-world clinical practice is inherently multimodal, relying on the synthesis of patient history with visual information such as medical imagery and...
Identifying cancer driver genes is crucial in precision oncology. Most existing methods rely on a single interaction network to capture gene relations...
The global demand for plasmid DNA (pDNA) is rapidly increasing due to its key role in the manufacture of mRNA vaccines and advanced therapy medicinal ...