ARC at Sheba Medical Center and Mount Sinai launch collaboration with NVIDIA to crack the hidden code of the human genome through AI
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Updates every hour. Last Updated: 25-Apr-2026 01:16 ET (25-Apr-2026 05:16 GMT/UTC)
ARC Innovation at Sheba Medical Center and Icahn School of Medicine at Mount Sinai (part of the Mount Sinai Health System in New York City) today announced a landmark three-year collaboration with NVIDIA to harness the power of artificial intelligence for genomic discovery through the application of large language model (LLM) technology. The initiative aims to pioneer the decoding of the majority of the human genome that remains poorly understood in order to unlock new pathways for disease prevention, diagnosis, and treatment. Over the three-year period, the project will be supported by significant investment from the participating organizations, with the goal of accelerating research that can ultimately benefit patients worldwide.
The University of Liverpool has unveiled an ambitious plan for a new £100 million AI Materials Hub for Innovation (AIM-HI) dedicated to accelerating the application of artificial intelligence in materials chemistry.
MIT researchers designed a device that quickly recovers drinking water from an atmospheric water harvesting material. The system uses ultrasonic waves to shake the water out of the material, recovering water in minutes.
Extracellular vesicles carry diverse molecules that cells use for communication. New tool enables scientists to ‘draw’ precise micropatterns with these vesicles, mimicking those deposited by cells in our bodies. Cells sometimes follow and internalize these vesicle patterns like a roadmap. Technology could help scientists better understand and exploit how vesicles signal cells to repair, heal or proliferate disease.
The earliest evidence of an internal ‘GPS’ system in an animal has been identified by researchers, which could help explain how modern birds and fish evolved the ability to use the Earth’s magnetic field to navigate long distances.
Undesired ice accumulation on infrastructure and transportation systems leads to catastrophic events and significant economic losses. Although various anti-icing surfaces with photothermal effects can initially prevent icing, any thawy droplets remaining on the horizontal surface can quickly re-freezing once the light diminishes. To address these challenges, we have developed a self-draining slippery surface (SDSS) that enables the thawy droplets to self-remove on the horizontal surface, thereby facilitating real-time anti-icing with the aid of sunlight (100 mW cm−2). This is achieved by sandwiching a thin pyroelectric layer between slippery surface and photothermal film. Due to the synergy between the photothermal and pyroelectric layers, the SDSS not only maintains a high surface temperature of 19.8 ± 2.2 °C at the low temperature ( −20.0 ± 1.0 °C), but also generates amount of charge through thermoelectric coupling. Thus, as cold droplets dropped on the SDSS, electrostatic force pushes the droplets off the charged surface because of the charge transfer mechanism. Even if the surface freezes overnight, the ice can melt and drain off the SDSS within 10 min of exposure to sunlight at −20.0 ± 1.0 °C, leaving a clean surface. This work provides a new perspective on the anti-icing system in the real-world environments.