Applying engineering principles to biological studies could identify disease biomarkers more quickly
In a paper published in PNAS, a University of Michigan team proposes that fundamental principles of control theory and observability can be applied to study biological processes that change over time.
Groundbreaking new tests reveal patterns in our immune systems that can signal underlying disease and tell us how well we ...
Using computer modeling to understand the social complexities of food waste and to test potential interventions that could be ...
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Scientists develop end-to-end encryption for git services
From large technology corporations to startups, from computer science students to indie developers, using git services is as ...
PagePeek introduces an AI-powered assessment framework for rhinology, auditing imaging and anatomy, molecular mechanisms, ...
High-speed sensors have revealed that pianists’ fingertips can shape sound color through precise movements. This long-sought proof turns artistic intuition into measurable science.
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
LOWELL, Massachusetts – NASA on Oct. 1 launched a telescope designed and built by UMass Lowell and the space agency that ...
Imagine being able to compose an email or steer a wheelchair directly with your thoughts. For millions of people living with ...
The interdisciplinary field of cyberpsychology has made a significant impact on key areas of computing, including ...
A new intelligent framework enhances lane keeping system safety testing by integrating statistical modeling, optimization algorithms, and ...
A new telepathy technology detects signals sent from the brain to the speech system delivering an experience that ...
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