Improvement of robot learning with combination of decision making and machine learning for water analysis
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 31-Dec-2025 07:11 ET (31-Dec-2025 12:11 GMT/UTC)
An international, interdisciplinary research team led by Prof. Jakob N. Kather from the Else Kröner Fresenius Center (EKFZ) for Digital Health at TU Dresden analyzed seven independent patient cohorts from Europe and the USA using their newly developed AI model. The model detects genetic alterations and resulting tissue changes in colorectal cancer directly from tissue section images. This could enable faster and more cost-effective diagnostics in the future. For the development, validation, and data analysis of the model, experts in data and computer science, epidemiology, pathology, and oncology worked closely together. The study has been published in the journal “The Lancet Digital Health”.
A Yale research team has created a new computer tool that can pinpoint when exactly genes turn on and off over time during brain development — a finding that may one day help doctors identify the optimal window to deploy gene therapy treatments.
Dubbed “chronODE,” the tool uses math and machine learning to model how gene activity and chromatin (the DNA and protein mix that forms chromosomes) patterns change over time. The tool may offer a variety of applications in disease modelling and basic genomic research and perhaps lead to future therapeutic uses.
“Basically, we have an equation that can determine the precise moment of gene activation, which may dictate important steps such as the transition from one developmental or disease stage to another,” said Mor Frank, a postdoctoral associate in the Department of Biophysics and Biochemistry in Yale’s Faculty of Arts and Sciences (FAS) and study co-author. “Consequently, this may represent a potential way to identify, in the future, critical points for therapeutic intervention.”
Results of the study were published August 19 in the journal Nature Communications.
In APL Bioengineering, researchers introduce a simple way to improve our sense of smell using radio waves, which can directly target the part of our brain responsible for smell, without causing pain. In the test, a small radio antenna was placed near volunteers’ foreheads and emitted radio waves to reach the smell-related nerves deep in the brain. The team found that their method improved subjects’ sense of smell for over a week after just one treatment.