The hidden Markov model (HMM), a statistical model widely applied in machine learning, has proven effective in addressing various problems in ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...

The recent paper studies algorithmic pricing through the lens of game theory, an interdisciplinary field at the border of ...

While artificial intelligence (AI)-powered screening has been validated for diabetic retinopathy, applying the technology to glaucoma has proved more challenging because glaucoma is not one disease. A ...

Researchers led by Prof. Alessandro Serretti at Kore University of Enna have identified a genetic inflammatory signature that defines specific depression subtypes and influences how patients respond ...

University of Haifa researcher says her team's AI model spots biomarkers in white blood cells; test could help monitor ...

Researchers led by Prof. Alessandro Serretti at Kore University of Enna have identified a genetic inflammatory ...

The researcher’s algorithim can spot if a person with Bipolar Disorder is at high risk of suicide based on physical differences in their genetic makeup.

The images were film-based, and subtle early signs of cancer could have been missed. Today, the same woman undergoes a ...

Biomarker-driven approaches enhance the likelihood of identifying optimal patient populations and streamline trials through accelerated approval pathways, with FDA approvals incorporating increasingly ...

Genomics, a science-led techbio company using large-scale genetic information to develop innovative precision healthcare tools and to accelerate drug discovery and development, has today announced the ...

An artificial intelligence (AI) algorithm has shown it is able to distinguish between healthy White and Black people using ...