Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …

Amyotrophic lateral sclerosis (ALS) is a devastating disease caused by degeneration of
motor neurons. As with all major neurodegenerative disorders, development of disease …

The expanding scale and inherent complexity of biological data have encouraged a growing
use of machine learning in biology to build informative and predictive models of the …

In the past decade, single-cell technologies have proliferated and improved from their
technically challenging beginnings to become common laboratory methods capable of …

The frequent outbreak of global infectious diseases has prompted the development of rapid
and effective diagnostic tools for the early screening of potential patients in point-of-care …

Multimodal medical data fusion has emerged as a transformative approach in smart
healthcare, enabling a comprehensive understanding of patient health and personalized …

Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one
of the top 10 leading causes of death. Accurate and early detection of TB is very important …

The pathology of Alzheimer disease (AD) damages structural and functional brain networks,
resulting in cognitive impairment. The results of recent connectomics studies have now …

Abstract Machine learning (ML) promises to tackle the grand challenges in chemistry and
speed up the generation, improvement and/or ordering of research hypotheses. Despite the …

The monkeypox virus poses a new pandemic threat while we are still recovering from
COVID-19. Despite the fact that monkeypox is not as lethal and contagious as COVID-19 …