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How to accelerate cures for genetic diseases using an artificial intelligence-enabled discovery engine to identify druggable nodes and develop clinical targets.
Stem-cell-derived islet cells could transform type 1 diabetes by removing the need for injected or infused insulin and improving quality of life. But evaluation of these therapies must center on the voices of people living with type 1 diabetes and examine meaningful outcomes.
We propose straightforward principles to foster an evaluation-forward operating system that can transform the adoption of clinical artificial intelligence from a leap of faith into a stepwise, trust-building process.
Rising demand for dialysis poses a central challenge to universal health coverage systems: not just whether to expand access, but how to sustain equitable, high-quality kidney failure care. In this Comment, I argue that long-term viability depends on system architecture, rather than modality choice alone.
Generative models trained on electronic health records are viewed as ‘zero-shot predictors’ for clinical outcomes — but this interpretation is misleading.
Can clinical artificial intelligence borrow from the experience of developing safe autonomous vehicles to develop safe autonomous consultations for medicine?
Multi-cancer detection tests offer a new paradigm in cancer screening — the use of a single test to simultaneously screen for many cancers — but they raise important ethical questions for their development, evaluation and possible implementation.
Clinical trials in Europe must become far more efficient to support the needs of investigators and their patients. The way trials are designed, conducted and regulated should be attuned first and foremost to the needs of patients, to ensure timely and equitable access to safe, effective and innovative treatments.
We propose an interdisciplinary framework to address the considerable challenges that are restricting the development of vaccines for zoonotic diseases with epidemic potential.
The future of HIV research — and of the USA’s scientific leadership — depends on bold, sustained action in defense of discovery, investment, and innovation.
A working group of Academia Europaea proposes the addition of a ‘ring diagram’ in clinical publications for the quick evaluation of translational implications.