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Articles by Patrick Schwab
Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals - Nature Machine Intelligence
Abstract Cardiovascular diseases remain a major contributor to the global burden of healthcare, highlighting the importance of accurate and scalable methods for cardiac monitoring. Cardiac biosignals, most notably electrocardiograms (ECG) and photoplethysmograms, are essential for diagnosing, preventing and managing cardiovascular conditions across clinical and home settings.
How to Stand Out in a Crowded Market
These days, everywhere you go, there are ads. From social media and print to television and streaming, it can feel overwhelming. Trust us, you are not alone. In fact, in a recent SurveyMonkey study, over 70% of people said there are too many ads these days. While opinions on how many ads are too many vary, a University of Nebraska Omaha study revealed that the average consumer consciously sees about 100 ads a day.
A collaborative large language model for drug analysis - Nature Biomedical Engineering
Abstract Large language models (LLMs), such as ChatGPT, have substantially helped in understanding human inquiries and generating textual content with human-level fluency. However, directly using LLMs in healthcare applications faces several problems. LLMs are prone to produce hallucinations, or fluent content that appears reasonable and genuine but that is factually incorrect. Ideally, the source of the generated content should be easily traced for clinicians to evaluate.
A Guide to Choosing a Marketing Agency And How They Differ
Your business is one-of-a-kind, so why settle for a marketing agency that fits into a generic category? If you’ve been searching for options, you’ve probably seen terms like creative agency, advertising agency, PR agency, or inbound marketing agency used almost interchangeably. But while they might sound similar, each type of agency brings something different to the table, and understanding those differences is key to making a smart decision for your business.
Global healthcare fairness: We should be sharing more, not less, data
Loading metrics Abstract The availability of large, deidentified health datasets has enabled significant innovation in using machine learning (ML) to better understand patients and their diseases. However, questions remain regarding the true privacy of this data, patient control over their data, and how we regulate data sharing in a way that that does not encumber progress or further potentiate biases for underrepresented populations.
Real-time prediction of COVID-19 related mortality using electronic health records
Abstract Coronavirus disease 2019 (COVID-19) is a respiratory disease with rapid human-to-human transmission caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Due to the exponential growth of infections, identifying patients with the highest mortality risk early is critical to enable effective intervention and prioritisation of care.
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