Background: The rapid proliferation of mobile health applications has underscored the need for robust tools to evaluate their quality. The Mobile App Rating Scale (MARS) is a widely used framework to assess key app…
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Deep brain stimulation (DBS) is an effective treatment for Parkinson’s disease. Identifying the optimal parameters is a complex task. Here, we investigated whether electrophysiology, combined with machine learning, can support contact selection. We applied…
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Scalable home-based detection of isolated REM sleep behavior disorder (iRBD) is essential for early care, prevention trials, and identifying candidates for neuroprotective interventions against synucleinopathies. We previously showed that high-resolution wrist actigraphy (Axivity AX6)…
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Rama Devi Drakshpalli, Data Analytics Solution Architect at Tech Mahindra
The pharmaceutical industry is undergoing a digital transformation like never before. Emerging technologies such as artificial intelligence, the internet of things, and real-time analytics have…
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Sepsis is the leading cause of mortality in burn patients, yet early identification remains difficult due to persistent hyperinflammatory responses and altered baseline physiology. We developed a streamlined machine learning model for early sepsis…
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Surgical site infections (SSIs), among the most frequent healthcare-associated infections, require surveillance, but traditional methods are labour-intensive. We developed machine learning (ML) and rule-based models for the semi-automated detection of deep and organ/space SSIs…
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What You Should Know:
– Caravel Bio, the first joint platform for protein discovery and delivery that enables new applications of synthetic biology, today announces its selection for a $7.8M award from the U.S. National Science…
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This study evaluates the CT-based volumetric sarcopenia index (SI) as a baseline prognostic factor for overall survival (OS) in 10,340 solid tumor patients (40% female). Automated body composition analysis was applied to internal baseline…
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Autism spectrum disorder (ASD) is a prevalent childhood-onset neurodevelopmental condition. Early diagnosis remains challenging by the time, cost, and expertise required for traditional assessments, creating barriers to timely identification. We developed an AI-based screening…
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Recent advances in unbiased metagenomic next-generation sequencing (mNGS) enable simultaneous examination of microbial and host genetic material. We developed a multimodal machine learning-based diagnostic approach to differentiate lung cancer and pulmonary infections by analyzing…
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