Latest AI and machine learning research in genetics for healthcare professionals.
Impulse control disorders (ICD) in Parkinson’s disease (PD) patients mainly occur as adverse effects...
Precision-guided dual antiplatelet therapy (DAPT) duration post-percutaneous coronary intervention (...
Sarcomas pose a severe diagnostic challenge. A wide variety of these distinct entities need to be di...
While antiretroviral therapy (ART) has significantly improved disease prognosis in people with HIV (...
Transcriptomic age prediction has emerged as a powerful approach for understanding biological aging ...
The explosion of genomic and multi-omics data has created a need for scalable, reproducible tools th...
Type 2 diabetes (T2D) is a complex and clinically heterogeneous disease. Although clustering approac...
Obesity, a leading global risk factor for cardiometabolic conditions, arises from multifaceted and b...
Alzheimer’s disease (AD), the most prevalent neurodegenerative disorder, is marked by the accumulati...
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by diverse presentati...
To quantify spectral-domain optical coherence tomography (SD-OCT) images cross-sectionally and longi...
The European LeukemiaNet (ELN) risk stratification of acute myeloid leukemia (AML) uses genetic and ...
Polygenic risk scores (PRS) estimate the expected value of a phenotype based on individual genotypes...
Despite continued advances in oncology, cancer remains a leading cause of global mortality, highligh...
Early-onset colorectal cancer (EOCRC) is rising rapidly, especially among populations at risk who ex...
Endometriosis is a common yet often underdiagnosed condition, partly due to the lack of reliable dia...
Lung neuroendocrine tumours (NETs, also known as carcinoids) are rapidly rising in incidence worldwi...
Understanding how genetic variation influences gene regulation at the single-cell level is crucial f...
Fractional anisotropy (FA) derived from diffusion MRI is a widely used marker of white matter (WM) i...
We aimed to conduct a comprehensive genomic analysis of ceftolozane/tazobactam (C/T) resistance mech...
There is considerable interest in training machine learning (ML) models on genomic data that achieve...