Rheumatoid arthritis (RA) is a heterogeneous disease with variable symptoms, prognosis, and treatment response, necessitating refined patient classification. We applied multimodal deep learning and clustering to identify distinct RA phenotypes using baseline clinical data…
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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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Arlow Farrell, Director of Software Engineerin at Ergotron
Jessica Grenwis, Sr. Director of Product Management at Ergotron
Healthcare IT professionals understand just how big an impact technology can have on positive patient outcomes, provider engagement, and…
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Reading and summarizing insights from Optical Coherence Tomography (OCT) images is a routine yet time-consuming task that requires expensive time from experienced ophthalmologists. This paper introduces the Multi-label OCT Report Generation (MORG) model, a…
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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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PreOpNet is a novel deep-learning algorithm using 12-lead digital electrocardiogram (ECG) for preoperative risk assessment of all-cause death and major adverse cardiac events (MACE) within 30 days. Its performance in European high-risk patients undergoing…
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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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Continuous prediction of glucose levels and hypoglycemia events is critical for managing type 1 diabetes mellitus (T1DM) under intensive insulin therapy. Existing models focus on a single task, limiting their practicality and adaptability in…
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Efficient and accurate identification of genetic alterations of non-small cell lung cancer is a critical diagnostic process for targeted therapies. Utilizing advanced modern deep learning is a potential solution that can accurately predict genetic…
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