AI Medical Compendium Journal:
Nature reviews bioengineering

Showing 1 to 3 of 3 articles

Machine learning for antimicrobial peptide identification and design.

Nature reviews bioengineering
Artificial intelligence (AI) and machine learning (ML) models are being deployed in many domains of society and have recently reached the field of drug discovery. Given the increasing prevalence of antimicrobial resistance, as well as the challenges ...

Optical imaging for screening and early cancer diagnosis in low-resource settings.

Nature reviews bioengineering
Low-cost optical imaging technologies have the potential to reduce inequalities in healthcare by improving the detection of pre-cancer or early cancer and enabling more effective and less invasive treatment. In this Review, we summarise technologies ...

Diffusion models in bioinformatics and computational biology.

Nature reviews bioengineering
Denoising diffusion models embody a type of generative artificial intelligence that can be applied in computer vision, natural language processing and bioinformatics. In this Review, we introduce the key concepts and theoretical foundations of three ...