RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
Abstract: Keratoconus affects approximately one in 2,000 individuals worldwide. It is typically associated with the decrease in visual acuity. Given its wide prevalence, there is an unmet need for the ...
Abstract: Kernel-based machine learning regression algorithms (MLRAs) are potentially powerful methods for being implemented into operational biophysical variable retrieval schemes. However, they face ...
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This study proposes a novel method for designing prosthetic heart valves (PHVs) by combining machine learning (ML) with optimization algorithms. This approach aims to overcome the limitations of ...
This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...
The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...
The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
Inkling, a 975-billion-parameter open source model, was trained to understand video and audio. It could help Thinking ...
The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...
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