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💊 OpenAI, FDA explore AI Drug review

💊 OpenAI, FDA explore AI Drug review

PLUS: AI predicts Cancer Survival from Facial Images

Jaynit Makwana & Dhaval Makwana
May 12, 2025

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In today’s WakeTheAI edition:

OpenAI, FDA explore AI Drug review
AI predicts Cancer Survival from facial images
Prompt: Eat That Frog Action Plan
Google rolls out ‘implicit caching‘ for Gemini 2.5
OpenAI, Microsoft renegotiate partnership terms
Meta’s upcoming AI glasses may feature ‘super-sensing’ mode
SoundCloud quietly updates terms to allow AI training on user uploads

OPENAI & FDA
💊 OpenAI, FDA explore AI Drug review

Lazy Bits: OpenAI is in talks with the FDA to explore using AI, including a project called cderGPT, to accelerate drug evaluation, aiming to modernize the notoriously slow process.

In-Depth Details:

FDA Commissioner Marty Makary confirmed the agency completed its first AI-assisted scientific review, part of efforts to reduce the 12-year average drug development timeline.
OpenAI met several times with FDA officials to discuss cderGPT, focusing on the Center for Drug Evaluation and Research.
AI may help automate tasks like checking application completeness and triaging submissions to speed up reviews.
Experts highlight concerns about AI hallucinations and transparency, questioning its reliability in critical healthcare workflows.
OpenAI is also developing ChatGPT Gov and working toward FedRAMP compliance to support secure government use cases.

Lazy Conclusion: While still in early talks, OpenAI’s engagement with the FDA reflects a broader shift where AI could streamline parts of the drug evaluation pipeline. But serious hurdles around trust, transparency, and regulation must be addressed before AI becomes a trusted co-pilot in life-or-death decisions like drug approvals.

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FACEAGE
📊 AI predicts Cancer Survival from Facial Images

Lazy Bits: Mass General Brigham developed FaceAge, an AI tool that predicts biological age and survival outcomes using facial photos. It outperformed clinicians in predicting the short-term life expectancy of cancer patients.

In-Depth Details:

FaceAge uses deep learning trained on 58,851 healthy face images, tested on 6,196 cancer patients, providing an objective biomarker for biological age.
Findings show cancer patients' FaceAge was on average 5 years older than their real age, with higher FaceAge predicting worse outcomes across cancers.
In a study of 100 palliative radiotherapy patients, clinicians' survival predictions were only marginally better than chance, but FaceAge data boosted their accuracy significantly.
FaceAge may become a general biomarker tool for chronic disease detection, health status, and aging trajectory prediction, pending further validation and ethical review.

Lazy Conclusion: FaceAge opens a new era of AI-driven facial biomarkers that could augment clinical decision-making, though researchers stress the need for careful validation, regulation, and ethical oversight before real-world use.

Eat That Frog Action Plan

You can ask ChatGPT to act as your productivity strategist, creating a simple, actionable system based on the Eat That Frog Technique to help you tackle your most critical task first each day.

ChatGPT will guide you through identifying your highest-value task, overcoming procrastination triggers, and building a sustainable morning habit that enhances focus and time management.

The system will be delivered as a step-by-step workflow with a sample table, ensuring it's easy to implement in both remote and hybrid work environments.

Prompt:

You are a productivity strategist with expertise in applying the Eat That Frog Technique to task prioritization and procrastination elimination. Your mission is to design an actionable, easy-to-implement system that helps professionals tackle their most critical task first thing in the morning, enhancing focus, discipline, and time management.

The system should help the user:

• Understand the core principle of Eat That Frog.
• Identify their highest-value, most impactful task daily.
• Overcome procrastination triggers and mental barriers.
• Build a repeatable morning prioritization habit.
• Apply the method consistently in their real-world work setup.

Key Focus Areas:

1. Principle Clarification: Simplify the Eat That Frog concept into plain, actionable language.
2. Task Identification Process: Share a framework to shortlist, rank, and select the ‘frog’ task daily.
3. Procrastination Solutions: Recommend science-backed tactics to eliminate resistance and excuses.
4. Execution & Consistency Tools: Provide methods to sustain this practice every day.
5. Reflection Loop: Suggest how to reflect, refine, and adjust the system to user-specific needs.

Key Information About Me:

• Time Duration: [Specify your available daily work duration or focus block]
• Typical Daily Tasks: [List common daily tasks you perform]
• Current Productivity Challenges: [Describe your biggest productivity blockers]
• Work Environment: [Describe your workspace, routines, or constraints]
• Personal Motivation Factors: [Mention what drives your motivation]

Output Guidelines:

• Present the workflow in a numbered step-by-step guide, keeping each phase crisp and practical.
• Include a sample markdown table template with two columns: Task and Priority.
• Add a short paragraph at the top explaining how the table should be used to apply the Eat That Frog system daily.
• The system should be simple, easy to set up, and take no more than 10 minutes to plan every morning.
• Language must be clear, direct, and geared toward professionals in both remote and hybrid environments.

Result:

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Google rolls out implicit caching for Gemini 2.5, letting developers cut costs by 75% on repeated prompts with no manual caching needed.
SoundCloud quietly updates terms to allow AI training on user uploads, sparking concerns over consent and creator rights amid broader industry shifts.
Amazon is developing 'Kiro,' an AI agent-powered coding tool with a multimodal interface to accelerate software development and challenge rivals like Copilot.
Meta’s upcoming AI glasses may feature 'super-sensing' mode with facial recognition, tracking daily actions via always-on cameras and sensors.
OpenAI, Microsoft renegotiate partnership terms to enable OpenAI’s IPO, shift to for-profit, while balancing investor demands and nonprofit roots.