Investment Overview
Network People Services Technologies (NPST), a leading provider of digital payments and digital banking infrastructure solutions, announced a significant fundraising milestone on Wednesday. The company successfully raised over Rs 300 crore from Tata…
What You Should Know:
– Empathy Health Technologies, the maker of the Sober Sidekick platform, has secured $7.6M in new growth funding, bringing its total to $11.4M.
– The investment will fuel the expansion of its…
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Top News
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A new, 10-year CMS model called ACCESS will test whether an outcome-aligned payment approach can expand access to technology-enabled chronic care management in Original Medicare starting in July 2026.
CMS says that…
What You Should Know:
– Curative Health Insurance Company, a health plan designed to replace the traditional insurance model, has raised over $150M in Series B funding, pushing its valuation to $1.275B and securing its…
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Real-time prediction of short-term mortality risk in the intensive care unit (ICU) is often hampered by missing medical data. To address this, we developed RealMIP, an end-to-end framework leveraging generative model for the dynamic…
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Sjögren’s disease (SjD) is a common systemic autoimmune disease that remains difficult to diagnose early due to non-specific symptoms and lack of definitive biomarkers. This multicentre retrospective cohort study analysed data from 34,958 patients…
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Effective risk stratification is essential in clinical practice, enabling better resource allocation and improved patient outcomes. Although machine learning models have been widely used for risk prediction and stratification in electronic health record (EHR)…
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What You Should Know:
Voio, a frontier AI lab spun out of UC Berkeley and UCSF, has secured $8.6M in seed funding led by Laude Ventures and The House Fund to launch a unified reading…
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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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Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are critical clinical events that necessitate prompt intervention, yet their detection remains challenging in primary care, especially in resource-limited regions where a lack of awareness leads…
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