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A Nobel Laureate’s Vision for Ending Snakebite Deaths with AI

plus: Why Doctors Fear AI Could Be Their Biggest Legal Risk Yet

Happy Friday! It’s January 17th.

By 2030, AI is projected to create 170 million jobs while eliminating 92 million, a net gain of 78 million roles, according to the World Economic Forum. Nearly 86% of companies expect AI to transform their operations, with two-thirds prioritizing hires skilled in AI, big data, and cybersecurity.

Our picks for the week:

  • Featured Research: A Nobel Laureate’s Vision for Ending Snakebite Deaths with AI

  • Perspectives: Why Doctors Fear AI Could Be Their Biggest Legal Risk Yet

  • Product Pipeline: FDA Approves AI-Driven ScreenDx for Interstitial Lung Disease

  • Policy & Ethics: AI to Drive EU Health Policy Without New Safeguards

FEATURED RESEARCH

A Nobel Laureate’s Vision for Ending Snakebite Deaths with AI

This image depicts a stylized, dark blue snake coiled next to a small desk or container with a pencil resting on it. The snake's scales have intricate patterns, and it has a slightly menacing but playful expression, with its tongue flicking out. The background features minimalist leaves and soft tones, creating a clean and modern aesthetic.

Snakebites harm millions each year, taking over 100,000 lives and leaving as many as 400,000 survivors with amputations, nerve damage, or chronic disabilities. Nearly 95% of these cases occur in rural, resource-limited regions across Africa, Asia, and Latin America.

Traditional antivenoms, while lifesaving, haven’t evolved much in a century. They rely on injecting animals with venom to produce antibodies—an expensive, time-consuming process.

A single vial can cost hundreds of dollars, and multiple vials are often needed for treatment. For many in rural communities, where snakebites are most common, these treatments are completely out of reach.

Generative AI model for protein design: Nobel laureate David Baker and his team at the University of Washington used the AI tool RFdiffusion to create synthetic proteins called “binders.”

These proteins target three-finger toxins (3FTx), a major cause of cobra venom fatalities. In tests, the binders neutralized toxins, protected cells, and saved mice exposed to lethal doses.

They are smaller, more stable, and easier to produce than traditional antibodies. Unlike current antivenoms, which take months to manufacture, these binders can be produced in weeks.

Why it matters: These binders don’t need cold storage, making them practical for remote regions. Mass production using microbes could bring the cost of treatment to a fraction of current antivenoms.

Researchers also envision these binders being stored in EpiPen-like injectors, allowing for rapid, life-saving treatment.

For more details: Full Article

Brain Booster

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Opinion and Perspectives

AI IN HEALTHCARE LEGAL RESPONSIBILITY

Why Doctors Fear AI Could Be Their Biggest Legal Risk Yet

AI is rapidly advancing in clinical diagnostics, with tools showing exceptional accuracy in areas like radiology, cardiology, and dermatology.

For example, AI can detect COVID-19 from chest X-rays with over 98% accuracy and identify arrhythmias with a similar confidence level. Yet, despite these capabilities, AI adoption in medicine faces a unique legal and public trust challenge: the "negative outcome penalty paradox" (NOPP).

The NOPP dilemma: Dr. Jacob M. Appel, argues that the NOPP highlights a critical issue. Physicians are penalized regardless of whether they accept or reject AI recommendations if the outcome is negative.

For instance, if a doctor overrides a correct AI diagnosis, they risk liability due to hindsight bias. Conversely, if they defer to an AI that makes an error, they may still face legal consequences, as juries often attribute fault to the physician rather than the technology.

This catch-22 creates hesitation among clinicians about relying on AI.

Solutions worth exploring: To address the NOPP, Appel suggests clearer liability rules, such as requiring dual-clinician reviews or adopting no-fault insurance for AI-related malpractice.

These ideas face resistance but could be tested in the U.S. through state-level legal experiments, aligning with Justice Brandeis’ "laboratories of democracy."

Appel argues that AI’s potential in diagnostics hinges on building a legal framework that fosters trust and supports its adoption, ensuring it becomes a reliable tool in medicine.

For more details: Full Article

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For more startup funding, read our latest December Report.

Product Pipeline

LUNG DISEASE DIAGNOSIS

FDA Approves AI-Driven ScreenDx for Interstitial Lung Disease

IMVARIA has secured FDA 510(k) clearance for ScreenDx, an AI-powered tool that helps clinicians detect interstitial lung disease (ILD) by analyzing CT imaging data.

Using advanced pattern recognition, ScreenDx flags potential ILD findings, streamlining referrals to specialists and reducing diagnostic delays.

With over 650,000 Americans affected by ILD annually and up to 30,000 deaths each year, early detection is critical to improving outcomes.

This marks IMVARIA’s second major FDA milestone, following the approval of Fibresolve, their AI-driven diagnostic for idiopathic pulmonary fibrosis (IPF).

Together, these tools aim to transform lung disease care by combining AI insights with clinical workflows, helping patients get timely diagnoses and potentially avoiding severe complications like lung fibrosis or the need for transplants.

For more details: Full Article

Policy and Ethics

EU HEALTH REGULATION

AI to Drive EU Health Policy Without New Safeguards

EU flags at the European Commission Berlaymont building

EU Health Commissioner Olivér Várhelyi has acknowledged AI’s growing role in transforming healthcare but revealed no plans for dedicated legislation to regulate its use.

Despite AI’s potential to improve diagnostics, drug development, and personalized medicine, this hands-off approach raises questions about oversight and patient safety.

The EU appears content to fold AI into broader policies like the 2025 Biotechnology Act while leaning on frameworks like the EU Health Data Space for data security.

Critics may see this as a missed opportunity to establish clear guardrails, leaving healthcare innovation vulnerable to ethical and safety challenges.

For more details: Full Article

Byte-Sized Break

📢 Three Things AI Did This Week

  • The Biden administration proposed new rules on exporting AI chips, aiming to safeguard U.S. national security while allowing allies access, but the restrictions on over 120 countries, including EU nations, have sparked pushback from the chip industry and international officials. [Link]

  • The U.K. government, led by Prime Minister Keir Starmer, announced the "AI Opportunities Action Plan," including a 20-fold increase in data center capacity, AI growth zones with relaxed planning rules, and a National Data Library, to foster sovereign AI startups and rival global leaders like OpenAI. [Link]

  • An AI-driven scam impersonating Brad Pitt duped a French woman out of €830,000, sparking debates on digital fraud, online safety, and platform accountability. [Link]

Have a Great Weekend!

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👉 See you all next week! - Bauris

Trivia Answer: C) Summer

While much of the world shivers in winter, Antarctica enjoys its sunny summer in mid-January with 24-hour daylight. Penguins feed their chicks, seals care for their pups, and seabirds thrive on a buffet of krill and fish. It’s like a wildlife summer camp at the bottom of the world!

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