Latest AI and machine learning research in chemotherapy for healthcare professionals.
Controlled exit from and re-entry into the cell cycle is essential for multi-cellular life, while ab...
New systematic profiling of drug effects is in urgent demand due to limitations in existing drug ass...
Organisation and dynamics of chromatin play a key role in regulation of cell state and function. In ...
Acute myeloid leukemia (AML) often enters remission after chemotherapy but frequently relapses due t...
The selection of an effective adjuvant is a critical bottleneck in vaccine development, particularly...
The concomitant development and evolution of lung computed tomography (CT) and artificial intelligen...
Conventional chemotherapeutics exploit cancer’s hallmark of active cell cycling, primarily targeting...
The prognostic significance of tumor-infiltrating lymphocytes (TILs) in breast cancer has been recog...
In the field of medical crowdfunding prediction, traditional statistical methods have long been the ...
Acute Hepatic Porphyria (AHP) is a rare genetic disease characterized by unpredictable life-threaten...
To prevent clozapine-induced agranulocytosis (CIA), patients’ white blood cell counts are closely mo...
Introduction: Achieving equity in translational precision medicine requires the integration of genom...
Adjuvant use of bone-modifying agents (BMAs) to early-stage breast cancer (eBC) aims to maintain bon...
Genomic testing has transformed treatment decisions for hormone receptor-positive, HER2-negative (HR...
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex, heterogeneous, and systemi...
Dengue, chikungunya, and Zika are diseases of major human concern. Differential diagnosis is complic...
Muscle-invasive bladder cancer (MIBC) is associated with poor predictability of response to cisplati...
Clinical practice guidelines recommend cardiovascular toxicity risk restratification including evalu...
Targeted estimation offers a robust and unbiased approach for causal inference of the average treatm...
Progressive supranuclear palsy (PSP) is a neurodegenerative 4R tauopathy clinically presenting with ...
Deep learning models applied to digital histology can predict gene expression signatures (GES) and o...