Difference between revisions of "BEECH(F23):Build Knowledge"

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(Drug delivery)
(Computational biology)
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[https://news.mit.edu/2023/more-effective-experimental-design-genome-regulation-1002 Computational model for effective DNA editing] <br>
 
[https://news.mit.edu/2023/more-effective-experimental-design-genome-regulation-1002 Computational model for effective DNA editing] <br>
 
[https://news.mit.edu/2021/robust-artificial-intelligence-tools-predict-future-cancer-0128 Using AI to predict cancer development] <br>
 
[https://news.mit.edu/2021/robust-artificial-intelligence-tools-predict-future-cancer-0128 Using AI to predict cancer development] <br>
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[https://news.mit.edu/2020/gaussian-machine-learning-tb-drug-1015 Machine learning to identify new tuberculosis drugs] <br>
  
 
===Disease biology===
 
===Disease biology===

Revision as of 16:43, 16 November 2023

BEECH 2024:
Biotech Engineering Exploration Challenge for Highschools

Banner 2023.png

Home        People        Schedule 2023-2024       
Build Knowledge        Build Community        Build Communication Toolkit        Build Your Project       

Overview

Notes about how to use this page

Videos

Techniques

Research projects


Press releases about current MIT biotechnology research

Agriculture and Climate science

Sustainable palm oil alternative
Using microbes as environmental sensors

Biomaterials

DNA-scaffold quantum rods
Light-responsive muscle grafts
Growing pancreatic organoids
Creating synthetic mucus

Computational biology

Computational screening for drug discovery
AI model for biology research
Computational model for effective DNA editing
Using AI to predict cancer development
Machine learning to identify new tuberculosis drugs

Disease biology

Influence of cell fate on cancer progression
Previously unknown immune response regulator
Modulating immune cells for cancer therapy
Using cellular information to find new malaria drugs
Organs on a chip to study disease

Development of diagnostic and laboratory tools

Mapping a 3D genome
Using cell mass as a new cancer diagnostic
Counting circulating tumor cells as a marker of cancer progression
Microscopy for deep tissue imaging
Artificial intelligence for cancer detection
Using expansion microscopy to view small things in high resolution
Imaging complex cell communication

Drug delivery

Bacteriophage delivery system
Nanoparticle drug delivery
Vaccine boost for CAR-T cell cancer therapy
Delivering RNA for gene editing
Identifying new cancer drugs with technology

Gene editing

Targeting RNA therapies
Programmable RNA to edit genome
Programmable enzymes for gene editing

Microbes

Bacteria communication and antibiotic resistance
Mutations that create antibiotic resistance