Latest AI and machine learning research in genetics for healthcare professionals.
Self-supervised Learning (SSL) has been recognized as a method to enhance prediction accuracy in var...
Accurately predicting druggable genes is of paramount importance for enhancing the efficacy of targe...
Identification of body fluid stain at crime scene is one of the important tasks of forensic evidence...
BACKGROUND: Accurate detection of driver gene mutations is crucial for treatment planning and predic...
This short paper presents an educational approach to teaching three popular methods for encoding DNA...
AD is a progressive neurodegenerative disorder characterized by memory loss. Due to the advancement ...
BACKGROUND: Epidermal growth factor receptor (EGFR) T790M mutation often occurs during long duration...
Pathological examination of nasopharyngeal carcinoma (NPC) is an indispensable factor for diagnosis,...
In breast cancer treatment, accurately predicting how long a patient will survive is crucial for dec...
BackgroundBreast cancer results from an uncontrolled growth of breast tissue. Many methods of diagno...
Although recent advancements have shed light on the crucial role of coordinated evolution among cell...
Mutations that affect RNA splicing significantly impact human diversity and disease. Here we present...
This article explores potential future scenarios for the medical field based on current trends, tech...
Post-transplant allograft fibrosis remains a challenge in prolonging allograft survival. Regulated ...
The incidence of heart failure with preserved ejection fraction (HFpEF) increases with the ageing of...
Mental health disorders are devastating illnesses, often misdiagnosed due to overlapping clinical sy...
The development of novel detection technology for meat species authenticity is imperative. Here, we ...
Tuberculosis (TB), ranking just below COVID-19 in global mortality, is a highly complex infectious d...
T7 RNA Polymerase (RNAP) is a widely used enzyme with recent applications in the production of RNA v...
This genetic association study including 120 patients with type 2 diabetes mellitus (T2DM) and 166 n...
Protein tandem mass spectrometry data are most often interpreted by matching observed mass spectra t...