The effectiveness of digital health management (DM) in post-discharge care for patients with coronary artery disease (CAD) remains insufficiently explored, particularly across public health emergencies. A total of 24,129 patients with CAD enrolled in…
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Sıla Özeren, Security Research engineer at Picus Security
When a hospital’s connected devices are compromised, it’s more than just data or dollars at risk — it’s patient lives. In recent years, operational technology (OT) devices, such as…
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James Lakes, MSc is president of Mednition.
Tell me about yourself and the company.
Mednition works with healthcare leaders and providers who are looking to improve the clinical, financial, and operational performance of…
Clinical decision-making often simplifies continuous risk data into discrete levels using round-number thresholds. These simplifications can distort risk assessments. To systematically uncover these distortions, we develop an interpretable machine learning model that identifies anomalies…
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Delirium affects 50% of hospitalized older adults and 80% of ICU patients, yet detection rates are as low as 20–30% with traditional methods. Natural language processing (NLP) offers potential for automated detection from clinical…
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Alcohol-related cancer risk calculator launches in New South Wales | MobiHealthNews
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How to Keep Medical and IoT Devices Secure in Healthcare
During the pandemic, many healthcare workloads became remote, and organizations were forced to extend their networks, increasing health systems’ attack surface. Some of the workloads…
Thomas Kluz, Managing Director at Niterra Ventures
What if the future of drug discovery no longer rests on bold experiments, but on disciplined partnerships where artificial intelligence becomes as indispensable to pharma as the laboratory…
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Ritesh Ramesh, CEO of MDaudit
In late 2023, a multi-hospital health system in the Southeast saw a sudden spike in payer requests for documentation. The compliance team had been running routine retrospective audits, but the pace…
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Colorectal cancer recurrence remains a major challenge after curative resection, and accurate tools for early risk assessment are essential to stratify patients and guide personalized therapeutic planning. We developed MPMRecNet, a dual-stream deep learning…
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