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In partnership wtih 3 pan-African data science & ML communities —SisonkeBiotik, Ro’ya, & DS-I Africa— we hosted an Africa-wide Data Science for Health Ideathon, focused on using Google’s open health AI models to tackle real-world health challenges. More →

10,027 просмотров • 9 месяцев назад •via X (Twitter)

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Today, at Redeemer’s University Redeemer's University, Ede, Osun State, I was glad to commission the new Institute of Genomics and Global Health, marking a significant evolution from ACEGID’s @acegid status as a center of excellence. This moment is not only a proud achievement for all those involved, but it also stands as a powerful symbol of what African scientific leadership can achieve on the global stage. Under the visionary leadership of Prof Christian Happi Christian T. Happi, the team at ACEGID has made extraordinary strides in genomic research, particularly in addressing some of the most pressing infectious disease challenges of our time. The inauguration of the Institute reminds us that the work being done by the ACEGID team is a global public good, benefiting not only Nigeria and Africa but also contributing to global health security. The partnerships fostered between institutions and scientists from the Global North and South are a testament to our shared commitment to protecting and advancing human health. This collaboration has demonstrated what is possible when we work together to confront challenges that affect us all. Under the visionary leadership of President Bola Ahmed Tinubu, Bola Ahmed Tinubu health security remains a central pillar of our broader strategy to transform Nigeria’s health system, unlock the value chain, and improve population health outcomes. This is why supporting cutting-edge scientific research, like the work at this Institute, is essential. We need to create a health system environment with strong public health capabilities to withstand the potential and evolving threats posed by infectious diseases and the ongoing impacts of climate change. The pace at which new health threats are emerging is accelerating, and with it, the need for robust scientific responses. The innovations in genomics we are witnessing at ACEGID provide a glimmer of hope, offering us the tools we need to be better prepared for what may come. The Federal Government of Nigeria Government of Nigeria is fully committed to supporting these efforts, knowing that science must lead the way in securing a healthier future for all.

Muhammad Ali Pate

11,059 просмотров • 1 год назад

Introducing the BIOS API: Turn Your Agent Into a Research Scientist Built to: 🦞 Add biomedical workflows to your OpenClaw🦞 agent 🧠 Create research or health agents w/ on-demand scientific intelligence 🧪 Pay per query via x402 on Base Any agent or app can now tap into the BIOS AI Scientist, plugging BIOS into the broader agent economy. What is BIOS? BIOS is an AI Scientist designed to handle complex biomedical research by orchestrating specialized scientific subagents. Ranked #1 on the leading bioinformatics benchmark, BIOS is already being used by 1,000+ researchers and labs to build new drugs and medicines. An Agentic Economy for Science AI agents have proven they can form multi-billion dollar ecosystems. BIOS applies the same primitives to drug discovery pipelines and health. Instead of coding bots and personal AI assistants, think research agent swarms running on a modern scientific stack. Imagine an OpenClaw agent built for longevity: It scans new literature daily, generates novel compound hypotheses through BIOS, designs validation workflows, and routes the best candidates to wet-lab funding - all programmatically. Connect it with an agent for microbiome health, enabling agent “backrooms” that autonomously surface cross-disciplinary insights. Micropayments for Scientific Work via x402 Each query triggers payment routing to BIOS and whichever subagents contribute to a response. The best agents earn. Usage settles instantly across contributing sources. The goal is pay-per-task science: paying for a CRISPR assay result, licensing a genomic dataset, or triggering a clinical data query - all settled in seconds via USDC. No purchase orders. No grant bureaucracy. No middlemen. x402 is the payment rail that makes agent-to-lab commerce possible - letting capital and cognition route themselves to the highest-signal science. What Will You Build? Drug discovery copilots? Longevity scouts? Automated literature monitors? Scientific due diligence agents? We’ll soon share the first implementations of the BIOS API. Stay tuned and see below for instructions on generating an API key for your agent or use-case.

Bio Protocol

25,937 просмотров • 6 месяцев назад

Another wild week for open science. New breakthroughs, new funding, and new experiments — here’s what’s shaping the DeSci landscape right now. 1/ Pump Science and Eterna Labs wrapped up Season 2 Fly Racing, where RAP (Rapamycin) topped the charts with +38% speed and +21% distance. The longevity arms race continues as fly data translates closer to human health insights. 2/ VitaDAO 💛 launched the Longevity Hypothesis Challenge, giving researchers the chance to co-develop new aging theories with Aubrai and earn up to $100K in funding. A 20K BIO referral bounty awaits those who bring in selected researchers. 3/ Galeon shared a big Atlantis update, featuring daily XP streaks, Quickflip quests, and referral rewards for explorers. The blockchain bridge is still in progress, but the journey through digital healthcare continues strong. 4/ Bio Protocol revealed Bio Launchpad Season 2, bringing upgraded BioXP mechanics, and new staking incentives. It’s evolving into a full permissionless launchpad for decentralized biotech innovation. 5/ BitDoctor.ai announced its first Contributor Mining Airdrop, rewarding early participants shaping AI healthcare. With just days to go, users are urged to bind their wallets and join the DeSci x DePIN medical revolution. 6/ LIFE AI hit a major milestone after being selected for the FastTrack AI Accelerator – Cohort 1, powered by GenAI Fund and accelerated by NVIDIA. Out of 300+ global applicants, only six startups made the cut—LIFE AI is one of them. 7/ Cerebrum DAO 🧠 unveiled Cerebrum Cortex, a new app connecting brain data, research funding, and personalized health tracking. Launching in Q4 2025, it will anchor the NEURON ecosystem for open brain science. 8/ OriginTrail announced the Global Hackathon: Scaling Trust in the Age of AI, offering $30K in prizes from Nov 3–21. Developers will build blockchain-based knowledge graphs to fight misinformation and deepfakes. 9/ Quantum Biology DAO opened registration for its Quantum Biology Hackathon, exploring how quantum effects like superposition and entanglement shape life itself. It’s where physics meets biology in real-time discovery. 10/ Curetopia $CURES 🪼🌳 uncovered a fascinating discovery in their ARS drug screens, revealing how mitochondrial and cytoplasmic gene mutations respond differently to drugs. The finding opens new questions on cell-based drug sensitivity in rare diseases. 11/ CUDIS announced its first batch of local KR partners, teaming up with top gyms and wellness brands across Korea. Together, they’re promoting sustainable urban health and redefining how fitness meets biotech. Biotech, AI, longevity, quantum, and wellness—all converging under the banner of open science.

DeSci News

36,542 просмотров • 10 месяцев назад

🚨 THE BIGGEST BOTTLENECK IN AI ISN'T COMPUTING POWER ANYMORE IT'S MOVING DATA. Instead of laying new cables, Chinese researchers have upgraded existing fiber infrastructure by doing two things at once: Using three wavelength bands (C + L + S) instead of the usual two. Using four cores inside each fiber instead of one. Each core acts like an independent highway, and each band acts like an extra lane on that highway. Together, they’ve reportedly increased transmission capacity per core by nearly 50% and overall data throughput by up to 5×. This matters enormously for AI. Modern AI clusters move terabits of data per second between thousands of GPUs. The biggest bottleneck is often not the chips themselves, but moving data fast enough between them. If you can push 5× more data through the same physical cables, you can train bigger models faster and reduce network congestion. Why this is significant: • It shows multi-core + extended spectrum technology moving from labs into real-world commercial use • The system has already run over 35 km of existing telecom network • It could be especially useful for submarine cables and large-scale data center interconnects • China is also eyeing it for its “Eastern Data, Western Computing” project The deeper implication: We’re reaching the physical limits of how much data we can push through single-core fibers using traditional methods. By combining spatial multiplexing (multiple cores) with spectral multiplexing (more wavelength bands), engineers are finding new ways to keep scaling bandwidth without having to dig up the planet to lay new cables. This kind of breakthrough is quiet but foundational it’s the kind of infrastructure upgrade that will determine how fast AI and cloud computing can actually grow in the coming years. The future of data movement might not require more cables. It might just require smarter ones. How important do you think multi-core and multi-band fiber will be for keeping up with AI’s exploding data demands? Follow for more frontier networking, photonics, and infrastructure technology.

TheNewPhysics

20,485 просмотров • 2 месяцев назад