Close Menu
    Trending
    • Using OpenClaw as a Force Multiplier: What One Person Can Ship with Autonomous Agents
    • From NetCDF to Insights: A Practical Pipeline for City-Level Climate Risk Analysis
    • Building a Production-Grade Multi-Node Training Pipeline with PyTorch DDP
    • A Beginner’s Guide to Quantum Computing with Python
    • How ElevenLabs Voice AI Is Replacing Screens in Warehouse and Manufacturing Operations
    • Seeing sounds | MIT News
    • MIT engineers design proteins by their motion, not just their shape | MIT News
    • How to Make Your AI App Faster and More Interactive with Response Streaming
    ProfitlyAI
    • Home
    • Latest News
    • AI Technology
    • Latest AI Innovations
    • AI Tools & Technologies
    • Artificial Intelligence
    ProfitlyAI
    Home » Using synthetic biology and AI to address global antimicrobial resistance threat | MIT News
    Artificial Intelligence

    Using synthetic biology and AI to address global antimicrobial resistance threat | MIT News

    ProfitlyAIBy ProfitlyAIFebruary 11, 2026No Comments2 Mins Read
    Share Facebook Twitter Pinterest LinkedIn Tumblr Reddit Telegram Email
    Share
    Facebook Twitter LinkedIn Pinterest Email

    James J. Collins, the Termeer Professor of Medical Engineering and Science at MIT and school co-lead of the Abdul Latif Jameel Clinic for Machine Studying in Well being, is embarking on a multidisciplinary analysis mission that applies artificial biology and generative synthetic intelligence to the rising international risk of antimicrobial resistance (AMR).

    The analysis mission is sponsored by Jameel Analysis, a part of the Abdul Latif Jameel Worldwide community. The preliminary three-year, $3 million analysis mission in MIT’s Division of Organic Engineering and Institute of Medical Engineering and Science focuses on creating and validating programmable antibacterials towards key pathogens.

    AMR — pushed by the overuse and misuse of antibiotics — has accelerated the rise of drug-resistant infections, whereas the event of recent antibacterial instruments has slowed. The influence is felt worldwide, particularly in low- and middle-income international locations, the place restricted diagnostic infrastructure causes delays or ineffective remedy.

    The mission facilities on creating a brand new technology of focused antibacterials utilizing AI to design small proteins to disable particular bacterial features. These designer molecules could be produced and delivered by engineered microbes, offering a extra exact and adaptable method than conventional antibiotics.

    “This mission displays my perception that tackling AMR requires each daring scientific concepts and a pathway to real-world influence,” Collins says. “Jameel Analysis is eager to handle this disaster by supporting progressive, translatable analysis at MIT.”

    Mohammed Abdul Latif Jameel, chair of Abdul Latif Jameel, says, “antimicrobial resistance is among the most pressing challenges we face as we speak, and addressing it is going to require bold science and sustained collaboration. We’re happy to assist this new analysis, constructing on our long-standing relationship with MIT and our dedication to advancing analysis the world over, to strengthen international well being and contribute to a extra resilient future.”



    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    Previous ArticleNot All RecSys Problems Are Created Equal
    Next Article Building an AI Agent to Detect and Handle Anomalies in Time-Series Data
    ProfitlyAI
    • Website

    Related Posts

    Artificial Intelligence

    Using OpenClaw as a Force Multiplier: What One Person Can Ship with Autonomous Agents

    March 28, 2026
    Artificial Intelligence

    From NetCDF to Insights: A Practical Pipeline for City-Level Climate Risk Analysis

    March 28, 2026
    Artificial Intelligence

    Building a Production-Grade Multi-Node Training Pipeline with PyTorch DDP

    March 27, 2026
    Add A Comment
    Leave A Reply Cancel Reply

    Top Posts

    The AI Bubble Has a Data Science Escape Hatch

    March 7, 2026

    Building AI Applications in Ruby

    May 21, 2025

    On Adding a Start Value to a Waterfall Chart in Power BI

    August 4, 2025

    Turning Product Data into Strategic Decisions

    May 1, 2025

    How To Choose the Right AI Data Collection Company?

    June 11, 2025
    Categories
    • AI Technology
    • AI Tools & Technologies
    • Artificial Intelligence
    • Latest AI Innovations
    • Latest News
    Most Popular

    How to Measure Real Model Accuracy When Labels Are Noisy

    April 11, 2025

    Microsofts framtidsvision för internet: NLWeb med AI-chatbottar integrerade på alla webbplatser

    May 20, 2025

    Building a strong data infrastructure for AI agent success

    March 12, 2026
    Our Picks

    Using OpenClaw as a Force Multiplier: What One Person Can Ship with Autonomous Agents

    March 28, 2026

    From NetCDF to Insights: A Practical Pipeline for City-Level Climate Risk Analysis

    March 28, 2026

    Building a Production-Grade Multi-Node Training Pipeline with PyTorch DDP

    March 27, 2026
    Categories
    • AI Technology
    • AI Tools & Technologies
    • Artificial Intelligence
    • Latest AI Innovations
    • Latest News
    • Privacy Policy
    • Disclaimer
    • Terms and Conditions
    • About us
    • Contact us
    Copyright © 2025 ProfitlyAI All Rights Reserved.

    Type above and press Enter to search. Press Esc to cancel.