Latest AI and machine learning research in genetics for healthcare professionals.
Biosynthetic gene clusters (BGCs), comprising sets of functionally related genes responsible for synthesizing complex natural products, are a rich source of bioactive compounds with pharmaceutical potential. Here, we present a transformer-based framework that models functional domains as linguistic units to capture and predict their positional relationships within genomes. Using a RoBERTa architec...
OBJECTIVE: To develop and validate a Fully Automated Stratification System (FASS) integrating serum biomarkers, automated radiomic features, and large language model (LLM)-derived semantic features for prognostic prediction in patients with solitary hepatocellular carcinoma (HCC) after hepatic resection. MATERIALS AND METHODS: A total of 448 patients with solitary HCC from three centers were retro...
AIMS: This study investigated whether endoscopist sex is associated with the detection of gastric precancerous conditions and neoplasia during esophag...
BACKGROUND: Xylem development is a dynamic, continuous process fundamental to secondary growth in woody plants and to biomass accumulation on earth. W...
The ability to predict individual genetic susceptibility to a complex trait disease is a major challenge in modern medicine. One approach to addressin...
BACKGROUND AND OBJECTIVE: The difference in molecular characteristics of Triple negative breast cancer (TNBC) aids in distinguishing between its four ...
Myogenic satellite cells from Hanwoo (Korean native cattle) are valuable for cultured meat and livestock biotechnology, serving as a primary cellular ...
Mendelian genetic diseases pose a significant global health burden. Early identification of causative genes is crucial for halting disease progression...
Spatial cellular context is crucial in shaping intratumor heterogeneity. However, understanding how each tumor establishes its unique spatial landscap...
BACKGROUND: Sepsis, a life-threatening condition driven by a dysregulated host response, poses significant challenges for early diagnosis and early in...
BACKGROUND: Tumor evolution is a spatiotemporal dynamic process orchestrated by the interplay of genetic mutations, epigenetic reprogramming, and bidi...
PURPOSE: Oligometastatic prostate cancer (oligoPCa) represents a clinical state of limited metastatic spread in which metastasis-directed therapy (MDT...
Triple-negative breast cancer (TNBC) is the most violent type of breast cancer, in which estrogen receptors (ER), progesterone receptors (PR), and hum...
Differentiating between bipolar disorder (BD) and schizophrenia (SZ) is challenging due to overlapping clinical symptoms and shared genetic risks, res...
Biomolecular reservoir computing, despite its potential for nontraditional information processing, encounters difficulties in realizing intricate nonl...
Inferring the genetic structure at the subpopulation level is crucial for understanding the demographic histories that shape genetic diversity. Among ...
Antibiotics in landfills create selection pressures on the microorganisms present, selecting for antibiotic resistance genes (ARGs) and antibiotic res...
DNA mimic proteins are relatively obscure control factors that resemble DNA by mimicking its negatively charged distribution. They achieve this using ...
Endometriosis (EMs) is a common chronic inflammatory gynecological disorder. But the exact pathogenetic mechanism of the disease is not clear, with so...
RNA design aims to find a sequence that can fold into a target secondary structure. It can create artificial RNA molecules for specific functions, wit...