Scientifically Speaking: AI changing biology but it won’t cure all diseases
Artificial intelligence is accelerating biological research by predicting protein structures, assisting data analysis, and guiding experimental design. Recent tools such as Biomni and Robin demonstrate AI’s ability to streamline tasks and suggest hypotheses, while robotic labs paired with AI have cut production costs. Nonetheless, experts stress that human scientists remain essential and that AI alone will not solve complex diseases like cancer or Alzheimer’s.
- ▪AlphaFold has predicted structures for over 200 million proteins, showcasing AI’s impact on protein folding research.
- ▪The AI assistant Biomni processed 458 wearable‑sensor files in under an hour, a task that would take a human about 60 hours.
- ▪Robin reviewed 551 papers in 30 minutes and identified candidate treatments for dry age‑related macular degeneration, leading to experimental validation.
- ▪Ginkgo Bioworks linked OpenAI’s system to laboratory robots, reducing the estimated cost per gram of a protein by 40 percent after 36,000 reaction tests.
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HomeNextScientifically Speaking: AI changing biology but it won’t cure all diseasesIn an Anthropic survey of nearly 52,000 Americans, almost half included curing cancer or Alzheimer’s among their top hopes for AIPublished on: Jul 24, 2026, 14:45:14 ISTBy Anirban MahapatraPrefer HTon GoogleShare viaCopy link Artificial Intelligence (AI) systems can predict protein structures, carry out complex analyses, and help scientists move from an idea to an experiment.The major AI laboratories see biology as the next frontier too. (iStock photo | File)The greatest opportunity for AI will be at the intersection of biology and healthcare.
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