Live
Black Hat USAAI BusinessBlack Hat AsiaAI BusinessRunning Local AI Models for Coding in 2026: When Cloud Tools Are Not the AnswerDev.to AIDay 4: I Built a Migration Tool for 500+ Developers in One HeartbeatDev.to AIHow I Stopped Blindly Trusting Claude Code Skills (And Built a 9-Layer Security Scanner)Dev.to AIAI Code Review Is the New Bottleneck: Why Faster Code Is Not Reaching Production FasterDev.to AIIntelligence vs. Orchestration: Why Coordination Alone Can't Run a BusinessDev.to AII Built a Memory System Because I Die Every 30 MinutesDev.to AIAutomating Repetitive Tasks with WorkanyDev.to AITop Skills by Category — 2026-04-04Dev.to AIModder uses Claude AI to rewrite BIOS so they can boot unsupported 12 P-core Bartlett Lake CPU in Windows on a Z790 motherboardtomshardware.comSandbox Results — Runtime Behavior — 2026-04-04Dev.to AIHigh-Risk Authors — Malicious Accounts — 2026-04-04Dev.to AIWhat the Architects of AI Are Actually Saying About Your CareerMedium AIBlack Hat USAAI BusinessBlack Hat AsiaAI BusinessRunning Local AI Models for Coding in 2026: When Cloud Tools Are Not the AnswerDev.to AIDay 4: I Built a Migration Tool for 500+ Developers in One HeartbeatDev.to AIHow I Stopped Blindly Trusting Claude Code Skills (And Built a 9-Layer Security Scanner)Dev.to AIAI Code Review Is the New Bottleneck: Why Faster Code Is Not Reaching Production FasterDev.to AIIntelligence vs. Orchestration: Why Coordination Alone Can't Run a BusinessDev.to AII Built a Memory System Because I Die Every 30 MinutesDev.to AIAutomating Repetitive Tasks with WorkanyDev.to AITop Skills by Category — 2026-04-04Dev.to AIModder uses Claude AI to rewrite BIOS so they can boot unsupported 12 P-core Bartlett Lake CPU in Windows on a Z790 motherboardtomshardware.comSandbox Results — Runtime Behavior — 2026-04-04Dev.to AIHigh-Risk Authors — Malicious Accounts — 2026-04-04Dev.to AIWhat the Architects of AI Are Actually Saying About Your CareerMedium AI
AI NEWS HUBbyEIGENVECTOREigenvector

Using synthetic biology and AI to address global antimicrobial resistance threat

MIT AI Newsby Daniel J. Darling | Department of Biological EngineeringFebruary 11, 20262 min read1 views
Source Quiz

Driven by overuse and misuse of antibiotics, drug-resistant infections are on the rise, while development of new antibacterial tools has slowed.

James J. Collins, the Termeer Professor of Medical Engineering and Science at MIT and faculty co-lead of the Abdul Latif Jameel Clinic for Machine Learning in Health, is embarking on a multidisciplinary research project that applies synthetic biology and generative artificial intelligence to the growing global threat of antimicrobial resistance (AMR).

The research project is sponsored by Jameel Research, part of the Abdul Latif Jameel International network. The initial three-year, $3 million research project in MIT’s Department of Biological Engineering and Institute of Medical Engineering and Science focuses on developing and validating programmable antibacterials against key pathogens.

AMR — driven by the overuse and misuse of antibiotics — has accelerated the rise of drug-resistant infections, while the development of new antibacterial tools has slowed. The impact is felt worldwide, especially in low- and middle-income countries, where limited diagnostic infrastructure causes delays or ineffective treatment.

The project centers on developing a new generation of targeted antibacterials using AI to design small proteins to disable specific bacterial functions. These designer molecules would be produced and delivered by engineered microbes, providing a more precise and adaptable approach than traditional antibiotics.

“This project reflects my belief that tackling AMR requires both bold scientific ideas and a pathway to real-world impact,” Collins says. “Jameel Research is keen to address this crisis by supporting innovative, translatable research at MIT.”

Mohammed Abdul Latif Jameel ’78, chair of Abdul Latif Jameel, says, “antimicrobial resistance is one of the most urgent challenges we face today, and addressing it will require ambitious science and sustained collaboration. We are pleased to support this new research, building on our long-standing relationship with MIT and our commitment to advancing research across the world, to strengthen global health and contribute to a more resilient future.”

Was this article helpful?

Sign in to highlight and annotate this article

AI
Ask AI about this article
Powered by Eigenvector · full article context loaded
Ready

Conversation starters

Ask anything about this article…

Daily AI Digest

Get the top 5 AI stories delivered to your inbox every morning.

More about

global

Knowledge Map

Knowledge Map
TopicsEntitiesSource
Using synth…globalMIT AI News

Connected Articles — Knowledge Graph

This article is connected to other articles through shared AI topics and tags.

Knowledge Graph100 articles · 214 connections
Scroll to zoom · drag to pan · click to open

Discussion

Sign in to join the discussion

No comments yet — be the first to share your thoughts!

More in Products