With AI moving at a fast pace, oculomics — the study of the eye as a window to systemic health — is expanding its potential ...
AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.
Advanced DNA sequencing technologies and a new model of stem cell research have enabled an international team to discover a ...
Adults who consume cannabis are nearly four times more likely to develop type 2 diabetes than those who don’t, according to a new study. Researchers led by Dr. Ibrahim Kamel from the Boston Medical ...
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks the cells that produce insulin—a ...
Cannabis use is linked to an almost quadrupling in the risk of developing diabetes, according to an analysis of real-world data from over 4 million adults, being presented at this year’s Annual ...
New Delhi: People using cannabis may be four times more at risk of developing diabetes, according to a large study of over four million adults on Monday. Cannabis use is increasing globally, with an ...
Cannabis use is linked to an almost quadrupling in the risk of developing diabetes, according to an analysis of real-world data from over 4 million adults, being presented at this year's Annual ...
Share on Pinterest A new study highlights possible consequences of cannabis use on metabolic health. Catherine Falls Commercial/Getty Images A large study found that type 2 diabetes risk could be four ...
Cannabis use was associated with a nearly fourfold increased risk of developing diabetes over a 5-year period, according to an analysis of real-world data from more than 4 million adults. The ...
If you are not living under a rock, you must have come across thousands of photos and reels of people reimagining their old photos using Gemini’s AI image generation tool, Nano Banana. While women are ...
Forecasters have slightly reduced the number of expected hurricanes and named storms in the Atlantic this year following an “unusually quiet” period of activity during the peak of hurricane season.