Latest AI and machine learning research in genetics for healthcare professionals.
The heterogeneity of Hepatocellular Carcinoma (HCC) poses a barrier to effective treatment. Stratify...
In recent years, researchers have proven the effectiveness and speediness of machine learning-based ...
BACKGROUND: Proliferative diabetic retinopathy (PDR), a major cause of blindness, is characterized b...
Anthropogenic influences have drastically increased nutrient concentrations in many estuaries global...
Transcription factors (TFs) are important regulatory elements for vital cellular activities, and the...
As a fundamental global staple crop, rice plays a pivotal role in human nutrition and agricultural p...
Suicide is a major public health problem caused by a complex interaction of various factors. Major d...
Understanding the influence of cis-regulatory elements on gene regulation poses numerous challenges ...
RNA modification serves as a pivotal component in numerous biological processes. Among the prevalent...
Immunotherapy is becoming increasingly important, but the overall response rate is relatively low in...
The ongoing expansion of human genomic datasets propels therapeutic target identification; however, ...
The COVID-19 pandemic, driven by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), neces...
BACKGROUND: RNA sequencing combined with machine learning techniques has provided a modern approach ...
The rapid growth in computational power, sensor technology, and wearable devices has provided a soli...
The genome-scale metabolic model (GEM) has emerged as one of the leading modeling approaches for sys...
Major histocompatibility complex (MHC) could serve as a potential biomarker for tumor immunotherapy,...
Machine learning has been increasingly used to obtain individualized neuroimaging signatures for dis...
Cyanobacteria have developed acclimation strategies to adapt to harsh environments, making them a mo...
OBJECTIVE: To investigate the prognostic value of F-FDG PET-based intensity, volumetric features, an...
It has been established that near infrared (NIR) spectroscopy has the potential of estimating sensor...
OBJECTIVE: To integrate an enhanced molecular diagnostic technique to develop and validate a machine...