Simons Center News Today

Checkpoint immunotherapy utilizing PD-1 blockade has become the standard of care for metastatic melanoma. While this treatment is effective in 40% of patients, the other 60% develop resistance, leading to tumor regrowth. A multidisciplinary research team led by the University of California, Irvine has identified a new strategy that could enhance the therapeutic effectiveness of this therapy by targeting the communication between immune cells within the tumor.

New research addresses a gap in understanding how ketamines impact on individual neurons leads to pervasive and profound changes in brain network function.

A World Health Organization Essential Medicine, ketamine is widely used at varying doses for sedation, pain control, general anesthesia and as a therapy for treatment-resistant depression.

Due to construction delays on the Simons Center for the Arts, the Robinson Theatre will no longer be available for Spoleto, with new venues added to the lineup.

<p>An MIT study of polyglots found the brain’s language network responds more strongly when hearing languages a speaker is more proficient in — and much more weakly to the speaker’s native language.</p>

The MIT Simons Center for the Social Brain catalyzes multiperspective, multiscale research collaborations to understand the neural mechanisms underlying social cognition and behavior.

The six anatomical layers of the mammalian brain cortex show distinct patterns of electrical activity which are consistent throughout the entire cortex and across several animal species, including humans, an MIT study has found.

ZeroHedge - On a long enough timeline, the survival rate for everyone drops to zero

With help from an artificial language network, MIT neuroscientists have discovered what kind of sentences are most likely to fire up the brain’s key language processing centers.The new study reveals that sentences that are more complex, either becaus

Sentences with greater linguistic complexity are most likely to fire up a key brain language processing center, according to an MIT study that employed an artificial language network.