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According to her, AI is already diagnosing cancers in early stages and aiding in cures for genetic diseases like sickle cell and beta thalassemia. This convergence is also significantly reducing both the cost and time required to develop new therapies.
Citing ARK Invest research, Wood says AI could slash the cost of developing a new drug from $2.4 billion to $600 million within five years, and cut the timeline from 13 years to as few as eight. This efficiency could shift the U.S. healthcare system away from expensive “sick care” toward preventative care and cures—critical in a country where healthcare makes up nearly 20% of GDP, or about $5 trillion annually.
Wood also noted that while autonomous vehicles and humanoid robots may dominate the AI conversation, the most profound application of AI may be in healthcare.
Echoing this, Peter Diamandis highlighted new research where AI can predict cancer outcomes and biological age simply from digital photographs—an advancement previously thought impossible.
As AI begins to reshape how we diagnose, treat, and even prevent disease, the healthcare sector could emerge as the most disrupted—and improved—industry of the next decade.
The post Cathie Wood: AI Will Revolutionize Healthcare, Cut Drug Costs, and Save Lives appeared first on Coindoo.
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