Silicon Valley’s early-stage funding model could address a dearth of opportunities for young investigators just launching new projects.

Scientists can foster new talent, find new funding options, and tap into business opportunities by forging relationships between researchers in emerging, developing and developed nations.

Data don’t support many direct-to-consumer products, from telomere assessments to bespoke diets based on genetic sequences.

The promise of immunotherapy is real. We now need to figure out how to maximize the number of patients the approach benefits.

The adoption of machine-learning techniques to aid in diagnosis should be done with radiologists’ guidance.

The scientific community must step up to support students and scholars who will undoubtedly face isolation.

Big data and empirical approaches to understanding diseases provide a limited picture of pathogenesis.

The first wave of AI-driven job loss among doctors will be in the field of radiology and is poised to force a paradigm shift in medical imaging.

What we can know about biology before the last universal common ancestor is limited—and we should be circumspect in filling in the gaps.