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 …

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

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

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

As government space agencies and private companies announce plans for deep space
exploration and colonisation, prioritisation of medical preparedness is becoming crucial …

With precious few spaceflight missions, all space-related biological and biomedical-health
data are priceless national resources that anyone should be able to easily access. The …

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

Abstract Rotating Space Slender Flexible Structures (RSSFS) are extensively utilized in
space operations because of their light weight, mobility, and low energy consumption. To …

T he operational paradigm that NASA and its international partners have enjoyed throughout
the history of human spaceflight is closely tied to the needs and constraints of Low Earth …