Latest AI and machine learning research in alternative medicine for healthcare professionals.
Alternative splicing is a crucial cellular process in eukaryotes, enabling the generation of multiple protein isoforms with diverse functions from a single gene. To better understand the impact of alternative splicing on protein structures, protein-protein interaction and human diseases, we developed ASpdb (https://biodataai.uth.edu/ASpdb/), a comprehensive database integrating experimentally dete...
Emerging viruses pose an ongoing threat to human health. While certain viral families are common sources of outbreaks, predicting the specific virus within a family that will cause the next outbreak or pandemic is not possible, creating an urgent need for broad spectrum antiviral drugs that are effective against an array of related viral pathogens. However, broad spectrum drug development is hinde...
The COVID-19 pandemic has generated a vast volume of research, yet much of it focuses on individual diseases, overlooking complex comorbidity relation...
Emerging evidence suggests that the interplay between multiple signaling pathways and the immune microenvironment influences tumorigenesis in cancers ...
Network neuroscience has proven essential for understanding the principles and mechanisms underlying complex brain (dys)function and cognition. In thi...
Recent advances in spatial multi-omics technologies provide unprecedented opportunities to integrate and interpret molecular features within the tissu...
Even when stimuli and tasks are held constant, brain activity fluctuates markedly across trials, yet it is not well understood how these fluctuations ...
Lumbar disc degeneration (LDD) is characterized by chronic inflammation, oxidative stress, and extracellular matrix (ECM) breakdown, yet current thera...
Kinases are enzymes that catalyze phosphorylation and play crucial roles in a myriad of cellular regulatory processes and hemostasis. Patient-specific...
Inferring chronological age from magnetic resonance imaging (MRI) brain data has become a valuable tool for the early detection of neurodegenerative d...
Conventional sports anticipation studies have primarily relied on hypothesis-testing paradigms that target predetermined cues. However, such approache...
This study investigates the acute impact of high-intensity activity on perceptual decision-making, using computational modeling to assess changes duri...
This paper introduces an innovative Electronic Health Record (EHR) foundation model that integrates Polygenic Risk Scores (PRS) as a foundational data...
Female genital tumors (FGTs), including ovarian, endometrial, and cervical cancers, pose a major global health challenge, yet their spatial and molecu...
Understanding how genomic sequences shape three-dimensional (3D) genome architecture is funda-mental to interpreting diverse biological processes. Alt...
Understanding how the human brain processes naturalistic audiovisual information remains a central challenge in cognitive neuroscience. Progress has b...
Analytical chemistry provides the content of nearly every scientific, technical and business decision relating to what atoms, molecules and devices ar...
Formulating hypotheses about gene-disease associations requires logical inference from prior data, followed by a laborious literature review. AI model...
Small molecule identification is central to research fields such as drug discovery, but in complex systems like Traditional Chinese Medicine (TCM), tr...
Multi-omics integrative analysis is pivotal for elucidating complex molecular mechanisms and biological processes, yet remains challenging in multi-om...