In The News

3 Questions: Why getting ahead of Covid-19 requires modeling more than a health crisis
3 Questions: Why getting ahead of Covid-19 requires modeling more than a health crisis

Researchers urge a holistic approach to forecasting the virus’ impact on public health and the economy.

MIT chapter of the Phi Beta Kappa Society inducts 115 students from the Class of 2020
MIT chapter of the Phi Beta Kappa Society inducts 115 students from the Class of 2020

Remarkably large cohort of graduating seniors honored for excellence in the liberal arts.

Turning diamond into metal
Turning diamond into metal

Normally an insulator, diamond becomes a metallic conductor when subjected to large strain in a new theoretical model.

Nanoparticles can turn off genes in bone marrow cells
Nanoparticles can turn off genes in bone marrow cells

Using these new particles, researchers could develop treatments for heart disease and other conditions.

How we make moral decisions
How we make moral decisions

In some situations, asking “what if everyone did that?” is a common strategy for judging whether an action is right or wrong.

A champion of renewable energy
A champion of renewable energy

MIT senior Darya Guettler advocates for climate action and broader deployment of zero-carbon energy sources.

Helping companies navigate Covid-19
Helping companies navigate Covid-19

Professor Yossi Sheffi's latest book, “The New (Ab)Normal,” offers a key supply chain perspective on the pandemic.

Cancer researchers collaborate, target DNA damage repair pathways for cancer therapy
Cancer researchers collaborate, target DNA damage repair pathways for cancer therapy

MIT researchers find blocking the expressions of the genes XPA and MK2 enhances the tumor-shrinking effects of platinum-based chemotherapies in p53-mutated cancers.

SMART researchers receive Intra-CREATE grant for personalized medicine and cell therapy
SMART researchers receive Intra-CREATE grant for personalized medicine and cell therapy

Funds will support research on glaucoma through retinal biometrics and neural cell implantation therapy for spinal cord injury.

Anticipating heart failure with machine learning
Anticipating heart failure with machine learning

Many health issues are tied to excess fluid in the lungs. A new algorithm can detect the severity by looking at a single X-ray.

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