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On September 25, 2025, Ai-MedLab took part in the Angel & Accelerator Virtual Conference, a global online event that gathered more than 500 participants — including startups, investors, and accelerator representatives from around the world — and featured over 20 distinguished speakers. The conference provided a valuable platform to exchange
The AI MedLab team recently held a focused session to review recent progress and coordinate next steps. The meeting allowed team members to discuss ideas, align on priorities, and plan the immediate actions needed for the team’s projects. During the session, the team: – Discussed ways to improve coordination among
Recent strides in diabetes research have increasingly leveraged machine learning and deep learning techniques, marking a pivotal shift in understanding and managing this complex disease. A comprehensive bibliometric analysis from 2000 to 2022 has shed light on the evolving landscape of diabetes-related scientific literature, uncovering global trends and key insights
Recent research spanning from 1990 to 2023 has unveiled significant advancements in machine learning (ML) and artificial intelligence (AI) for predicting diabetic complications such as retinopathy (DR), kidney disease (DKD), and neuropathy (DN). Across 74 studies analyzed, a notable increase in global ML research emerged, particularly in DKD prediction. These
In the rapidly evolving landscape of medicine, the digital health revolution is spearheading transformative changes, particularly in diabetes care. A recent article in the Journal of Diabetes Science and Technology sheds light on groundbreaking innovations and technological advancements poised to revolutionize the management of this prevalent chronic disease. The article
Blindness, kidney failure, heart attacks, stroke and loss of lower limbs are the main dangerous complications of diabetes. Even in some cases, type 3 diabetes can cause the death of the patient, so that between 2000 and 2019, the death rate due to type 3 diabetes has increased by 3%.