With its first CE certification, Caption Health’s cardiac ultrasound AI is headed to Europe

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Caption expects that its AI-guided ultrasounds would speed up the time it takes for patients to receive a verified diagnosis by removing the requirement for a professional to examine in person. Caption Health is exporting its software to Europe after extending the usage of its artificial intelligence systems to help U.S. physicians through cardiac ultrasound examinations. The business’s Caption AI platform, which aids in guiding even novice clinicians through cardiac ultrasound examinations, has been awarded a CE mark. By utilizing ultrasound power, caption technology makes it possible to obtain diagnostic images wherever the patient may be. Early identification of heart problems enables patients to influence the course of the illness and improve outcomes

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DNAnexus and Twist Bioscience collaborate to deliver analytics tools for sequencing data

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Twist Bioscience provides panels and reagents to life science researchers for the next-generation sequencing process, emphasizing library preparation. Utilizing the DNAnexus cloud computing platform, Twist Bioscience aims to develop a next-generation sequencing tool for simplifying data analysis after sequencing. For locating methylated areas in the human genome, the Twist NGS Methylation Detection System offers reliable sample preparation and target enrichment methods. Unique methylation patterns within samples can be used to detect cancer, rare diseases, and other abnormalities. The highly sensitive hybridization capture-based method used by the NGS Methylation Detection System can be included in diagnostic procedures.

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Mayo Clinic ML-Based Algorithm Can Predict Pancreatic Cancer Earlier Than Usual Imaging Methods

 

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Researchers from the Mayo Clinic have created a ground-breaking EDI-based machine-learning model that may detect pancreatic cancer on pre-diagnostic imaging techniques like CT scans much earlier than conventional approaches for clinical diagnosis. Artificial intelligence can recognize those asymptomatic individuals who might be carrying an undetected malignancy at a stage where surgery may be an option for treatment. These results might assist in removing one of the major obstacles to increasing pancreatic cancer patient survival. Researchers computationally extracted the imaging signature of early cancer from CTs and have built advanced machine-learning models that could predict the future risk of pancreatic cancer

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