The Sussex Pathology Network has selected Clinisys for the deployment of a laboratory information system (LIMS) that will help its labs to collaborate and maintain a high-quality pathology service for clinicians, patients and residents.A…
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British health tech company TidalSense has published results from clinical studies which demonstrated more than 91 percent accuracy in diagnosing severe chronic obstructive pulmonary disease (COPD) from a single breath recording using its artificially…
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What You Should Know:
Mindpeak, a leading provider of artificial intelligence (AI) for pathology, and Proscia®, a leading provider of digital and computational pathology solutions, have announced a partnership to broaden access to improved diagnosis for cancer…
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The antibody index (AI) is a measure of local antibody synthesis in the central nervous system (CNS) and represents an important and growing tool in neurological diagnostics. Determination of the AI supports diagnosis of…
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Huma Therapeutics has received US Food and Drug Administration (FDA) Class II clearance for its disease-agnostic Software-as-a-Medical-Device (SaMD) platform, enabling companies to launch their own algorithm innovations more quickly to the platform and allowing…
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We are at a critical crossroads when it comes to women’s health and well-being. Earlier this year, the World Economic Forum recognised the requirement for increased investment in women’s health. While the depth of…
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Patients throng to communities where they can get practical life advice in a depth that only fellow patients can offer. Belong.Life is an online community and app designed to combine many forms of support…
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By Mark Melchionna
June 08, 2023 – Research from the Radiological Society of North America (RSNA) indicates that artificial intelligence (AI) algorithms performed better than the Breast Cancer Surveillance Consortium (BCSC) risk model in predicting the…
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Artificial intelligence (AI) has extraordinary potential to enhance healthcare, from improvements in medical diagnosis and treatment to assisting surgeons at every stage of the surgical act, from preparation to completion.With machine learning and deep…
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The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer learning approaches for biomedical problems may result in suboptimal performance when pre-training…
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