Machine learning can accurately predict cardiovascular disease and guide treatment--but models that incorporate social determinants of health better capture risk and outcomes for diverse groups, finds a new study by researchers at New York University's School of Global Public Health and Tandon School of Engineering.
The University of Surrey has built an artificial intelligence (AI) model that identifies chemical compounds that promote healthy ageing - paving the way towards pharmaceutical innovations that extend a person's lifespan.
A new study led by researchers from the University of Chicago shows that deep learning models trained on large sets of cancer genetic and tissue histology data can easily identify the institution that submitted the images.
DeepMind is partnering with EMBL to make the most complete and accurate database yet of the predicted human protein structures freely and openly available to the scientific community The AlphaFold Protein Structure Database will enable research that advances understanding of these building blocks of life, accelerating research across a variety of fields. AlphaFold's impact is already being realised by early partners researching neglected diseases, studying antibiotic resistance, and recycling single-use plastics.
Researchers from the University of Southern California and NVIDIA have unveiled a new simulator for robotic cutting that can accurately reproduce the forces acting on a knife as it slices through common foodstuffs, such as fruit and vegetables. The system could also simulate cutting through human tissue, offering potential applications in surgical robotics. The paper was presented at the Robotics: Science and Systems (RSS) Conference 2021 on July 16.
Researchers have created butterflies that flap their wings, flower petals that wiggle with the touch of a button and self-folding origami drawing on new advances in soft robotics.
Researchers at the NYU Center for Cyber Security at the NYU Tandon School of Engineering are rethinking basic functions that drive the ability of neural networks to make inferences on encrypted data.
Srikanth Singamaneni and Barani Raman in the McKelvey School of Engineering developed technology to use nanoparticles to heat, manipulate cells in the brain and heart.
For the first time an autonomously flying quadrotor has outperformed two human pilots in a drone race. The success is based on a novel algorithm that was developed by researchers of the University of Zurich. It calculates time-optimal trajectories that fully consider the drones' limitations.
Imagine meeting a friend on the street, and imagine that with every step they take, your visual system has to process their image from scratch in order to recognize them. Luckily, our visual system is able to retain information obtained in motion, thereby presenting us with a consistent picture of our surroundings. These are the findings of a study conducted by SISSA, in collaboration with the Penn and KU Leuven and published in Nature Communications, which explains the neuronal underpinnings of this phenomenon.