This study introduces a system for predicting disease progression events in multiple myeloma patients from the CoMMpass study (N = 1186). Utilizing a hybrid neural network architecture, our model predicts future blood work from historical lab…
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Verily Receives $14.7M Grant from Michael J. Fox Foundation to Create Rich Molecular Dataset for Parkinson’s Research
What You Should Know:
– Verily, an Alphabet company focused on health data platforms and AI, today announced it has received a significant $14.7M grant from The Michael J. Fox Foundation for Parkinson’s Research (MJFF).
–…
Continue ReadingImmunai & Parker Institute to Build Largest Single-Cell Immune Profiling Patient Database
What You Should Know:
– Immunai, a leading AI biotech company specializing in mapping the human immune system and the Parker Institute for Cancer Immunotherapy (PICI), a collaborative consortium of the world’s leading immuno-oncology experts,…
Continue ReadingUnderstanding contraceptive switching rationales from real world clinical notes using large language models
Understanding reasons for treatment switching is of significant medical interest, but these factors are often only found in unstructured clinical notes and can be difficult to extract. We evaluated the zero-shot abilities of GPT-4…
Continue ReadingFine-grained forecasting of COVID-19 trends at the county level in the United States
The novel coronavirus (COVID-19) pandemic has had a devastating global impact, profoundly affecting daily life, healthcare systems, and public health infrastructure. Despite the availability of treatments and vaccines, hospitalizations and deaths continue. Real-time surveillance…
Continue ReadingDevelopment and validation of multimodal deep learning algorithms for detecting pulmonary hypertension
Transthoracic echocardiography (TTE), commonly used for initial screening of pulmonary hypertension (PH), often lacks sufficient accuracy. To address this gap, we developed and validated a multimodal fusion model for improved PH screening (MMF-PH). The…
Continue ReadingDeep learning-based mobile application for efficient eyelid tumor recognition in clinical images
Early detection, regular monitoring of eyelid tumors and post-surgery recurrence monitoring are crucial for patients. However, frequent hospital visits are burdensome for patients with poor medical conditions. This study validates a novel deep learning-based…
Continue ReadingWearable data reveals distinct characteristics of individuals with persistent symptoms after a SARS-CoV-2 infection
Understanding the factors associated with persistent symptoms after SARS-CoV-2 infection is critical to improving long-term health outcomes. Using a wearable-derived behavioral and physiological dataset (n = 20,815), we identified individuals characterized by self-reported persistent fatigue and…
Continue ReadingGlobal 10 year ecological momentary assessment and mobile sensing study on tinnitus and environmental sounds
In most tinnitus patients, tinnitus can be masked by external sounds. However, evidence for the efficacy of sound-based treatments is scarce. To elucidate the effect of sounds on tinnitus under real-world conditions, we collected…
Continue ReadingModMed Launches AI-Powered Scribe for Dermatology to Transform Clinical Documentation
What You Should Know:
– ModMed, a provider of specialty-specific healthcare technology announced the upcoming launch of ModMed Scribe, an AI-powered ambient listening solution designed to revolutionize EHR documentation for dermatologists.
– The tool automates note-taking,…
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