Streamlined data-driven drug discovery remains challenging, especially in resource-limited
settings. We present ZairaChem, an artificial intelligence (AI)-and machine learning (ML) …

Introduction Infectious diseases still cause a significant burden of morbidity and mortality
among children in low-and middle-income countries (LMICs). There are ample opportunities …

AI's potential to revolutionize oncology through enhanced diagnostics, treatment planning,
and patient monitoring is well-documented globally. However, in Africa, its adoption has …

Chemical prototypes with broad-spectrum antiviral activity are important toward developing
new therapies that can act on both existing and emerging viruses. Binding of the SARS-CoV …

Small molecules that specifically target viral polymerases—crucial enzymes governing viral
genome transcription and replication—play a pivotal role in combating viral infections …

Diseases caused by viruses are challenging to contain, as their outbreak and spread could
be very sudden, compounded by rapid mutations, making the development of drugs and …

The genetic drift of viruses modulates the random mutagenesis creating an impact on the
pathogenesis of the viruses. Factors such as the ability to adapt in any host cell, mimic the …

[en] Predictive modelling of antimicrobial activity of molecules is a crucial step towards the
discovery of anti-infective medicines. Unfortunately, there is a shortage of models covering …

Malaria remains a devastating but preventable infectious disease that disproportionately
affects the African continent. Emerging resistance to current frontline therapies means that …

The fusion of artificial intelligence (AI) and machine learning (ML) has reshaped drug
discovery, expediting the development of innovative treatments. Initially, AI and ML models …