Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment
and accelerate research, helping scientists to generate hypotheses, design experiments …

Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …

We envision" AI scientists" as systems capable of skeptical learning and reasoning that
empower biomedical research through collaborative agents that integrate AI models and …

The ability to integrate resources and share knowledge across organisations empowers
scientists to expedite the scientific discovery process. This is especially crucial in addressing …

The recent acceleration of commercial, private and multi-national spaceflight has created an
unprecedented level of activity in low Earth orbit, concomitant with the largest-ever number …

Human exploration of deep space will involve missions of substantial distance and duration.
To effectively mitigate health hazards, paradigm shifts in astronaut health systems are …

Nowadays, machine learning (ML) has attained a high level of achievement in many
contexts. Considering the significance of ML in medical and bioinformatics owing to its …

Cancer research encompasses data across various scales, modalities, and resolutions, from
screening and diagnostic imaging to digitized histopathology slides to various types of …

Widespread generation and analysis of omics data have revolutionized molecular medicine
on Earth, yet its power to yield new mechanistic insights and improve occupational health …

Background: Understanding and countering the well-established negative health
consequences of spaceflight remains a primary challenge preventing safe deep space …