Latest AI and machine learning research in alternative medicine for healthcare professionals.
Small molecule identification is central to research fields such as drug discovery, but in complex s...
Multi-omics integrative analysis is pivotal for elucidating complex molecular mechanisms and biologi...
The application of machine learning (ML) techniques in classification and prediction tasks has great...
Variants of uncertain significance (VUS) pose a significant challenge for those undergoing genetic t...
Introduction: The increasing complexity of clinical cancer research necessitates the development of ...
This study constructs an acupuncture knowledge graph (AcuKG) to systematically organize and represen...
The WNT signaling pathway plays a critical role in colorectal cancer (CRC) initiation and progressio...
Cardiovascular medicine is rapidly evolving, as it integrates digital technologies intended to decen...
Cancer is increasingly recognized as a metabolic disease with strong nutritional determinants. Recen...
Data extraction is a critical but resource-intensive step of the evidence review process. Whilst the...
Musculoskeletal (MSK) modeling and ultrasound imaging (USI) are complementary techniques that, when ...
The growing use of large language models (LLMs) for biomedical question answering raises concerns ab...
Spinal cord injury (SCI) remains a devastating neurological condition with high global incidence and...
Childhood maltreatment is a well-established risk factor for substance misuse. However, it remains u...
The incidence of early-onset colorectal cancer (EOCRC; <50 years) continues to rise, with the most r...
We previously developed the Evaluation of Autism Gene Link Evidence (EAGLE) manual curation framewor...
Although living donor kidney transplantation (LDKT) generally achieves excellent outcomes, 5–12% of ...
A major concern in applying large language models (LLMs) to medicine is their reliability. Because L...
Should original research routinely contain prominent policy claims, such as recommendations for poli...
Clinical and population decision-making relies on the systematic evaluation of extensive regulatory ...
To quantify the amount and certainty of evidence in Cochrane systematic reviews of interventions, an...