As artificial intelligence continues to reshape medicine, finance, governance, and culture, Vijayalaxmi’s contributions offer not only powerful technical solutions but also a principled vision for ...
Radical health system wide change is needed for the new cancer plan to succeed where others have failed, write Bernard Rachet , Ajay Aggarwal , and Martin McKee The 2026 national cancer plan for ...
This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
Abstract: This research addresses the burgeoning tension between the predictive power of artificial intelligence and the imperative of data sovereignty in healthcare. By proposing a privacy-preserving ...
The field of medicine and medical imaging (X-rays, MRIs, CT scans, etc.) is rich in data, creating fertile ground for Artificial Intelligence (AI). Machine learning models, particularly deep neural ...
Introduction: Early and accurate detection of viral diseases is vital for timely treatment and public health preparedness. However, most existing computer-based prediction systems depend on ...
Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. As artificial intelligence becomes ...
Abstract: Skin cancer remains one of the most prevalent and life-threatening diseases globally, where early and accurate diagnosis is crucial for effective treatment and improved patient outcomes.
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