Xi’s stranglehold on rare earths will give China unprecedented leverage to win concessions from the US. Sitting in Beijing’s reserve is control over an even more vital supply chain: medicine. https://t.co/NFy5UxoItZ ...

Public Health Challenges & Solutions in Rural India - Infant mortality rate was 121 per 1,000 live births, indicating over 10% of children died before age one [1] - Child mortality rate was 153 per 1,000 [2] - Neonatal mortality rate was 100 per 1,000 [2] - Traditional healers and local deities were primary healthcare sources due to the absence of modern medicine [1] - A home-based mother newborn child care program was developed, focusing on health education, home deliveries, newborn care, breastfeeding support, and management of common childhood illnesses [1] Community Health Worker Program & Impact - Local women, including traditional birth attendants and community health workers (like Asha), were trained to provide essential newborn care [1] - Passing percentage of these community health workers in newborn care was 75%, exceeding the passing rate of medical graduates [2] - Infant mortality reduced from 121 to 20 per 1,000 live births [2] - Child mortality decreased from 153 to 23 per 1,000 [2] - Neonatal mortality dropped from 100 to 17 per 1,000 [2] Program Recognition & Scalability - The home-based neonatal care program became India's national policy, training 800,000 Asha workers [2] - The program has expanded globally, impacting 80 countries [2] - The initiative was recognized as one of Time magazine's 18 global heroes of health [2]

Focus and Vision - The author prioritizes AI & Agents over Prediction Market protocols due to their potential for greater value creation [1] - The author is interested in disruptive technologies that drive real-world change and find breakout use cases for blockchain and DeAI [2] - The author is open to covering "Prediction AI" innovations but primarily focuses on disruptive tech [2] BIO and Aubrai Example - BIO aims to disrupt medicine with agentic systems for top scientists [1] - Onchain scientific agents may be the start of "vibe science" [3] - $AUBRAI has generated 980 novel hypotheses hashed on @base [3] - $AUBRAI generated $180 thousand in fees for experiments in 8 days on +$20 million volume [3] - @aubreydegrey's X account has 145 thousand listeners [3]

Breast Cancer Diagnosis & AI Application - Breast cancer is highly curable if detected early, but traditional diagnostics can be lengthy, costly, and subjective [3][4] - The project utilizes machine learning to analyze cell morphology for breast cancer diagnosis, training AI to differentiate between benign and malignant cells [4] - AI studies correlations between data, using 30 different variables to predict tumor malignancy [15][18] - The model uses logistic regression, support vector machine, random forest, and gradient boosting to improve prediction accuracy [19][20] Technical Details & Data - The model is trained using the Wisconsin breast cancer data set, which includes 569 samples across 30 key features and 10 cell attributes [12] - Key cell morphology features include radius, area, texture, and perimeter, which are altered in cancerous cells due to excess DNA activity [9][10][11] - The machine learning model provides specific measurements, such as radius (7.5%) and area (920), to indicate malignancy [9] AI in Medicine & Future Implications - AI can provide a second opinion by analyzing numerical data, potentially catching what might be missed by human pathologists [25][26] - The project aims to assist doctors and pathologists, not replace them, by providing a second pair of eyes trained on vast amounts of data [26] - AI's capabilities and limitations must be understood to fully utilize its potential in medicine and other industries [25]

Mustafa Suleyman is the CEO of Microsoft AI and co-founder of DeepMind. Suleyman joins Big Technology to discuss Microsoft’s new multi-agent “diagnostic orchestrator,” a system that debates patient cases and outperforms physicians on tough New England Journal of Medicine scenarios. Tune in to hear how this system already hits about 85 percent accuracy while slashing unnecessary tests and cost. We also cover what the rise of generative AI in medicine means for doctors’ roles, patient trust, real-world deploy ...

Clinical Trial & Technology - Neuralink's PRIME Study successfully implanted its first patient at Umiami Medicine and Miami Project [1] - The therapy is considered a revolutionizing approach for patients [1] Personnel & Organization - RT Seth Tigchelaar, MD/PhD from Umiami Medicine and Miami Project led the implantation [1] - Elon Musk is acknowledged for his contribution to the therapies [1]

Group 1 - BWX Technologies (BWXT) operates at the intersection of the defense, energy, and medicine industries [1] - The company was established as a separate entity from Babcock & Wilcox in 2015 and has since pursued two main development directions [1]