Predicting Parkinson’s disease with explainable AI

New research has demonstrated that explainable artificial intelligence (XAI) frameworks can be significantly improved. parkinson’s disease (PD) provides clinically meaningful insight into how decisions are made while providing predictions. PD is a progressive neurological disorder characterized by motor symptoms such as tremor and rigidity, and non-motor symptoms such as cognitive impairment and sleep disturbances. Early […]

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Applying multimodal biological foundation models across therapeutics and patient care

Healthcare and life sciences decision making increasingly relies on multimodal data to diagnose diseases, prescribe medicine and predict treatment outcomes, develop and optimize innovative therapies accurately. Traditional approaches analyze fragmented data, such as ‘omics for drug discovery, medical images for diagnostics, clinical trial reports for validation, and electronic health records (EHR) for patient treatment. As […]

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bring humans into the equation

Today’s artificial intelligence performs tasks that once required expert intuition, such as diagnosing satellite failures, allocating radio spectrum, creating entire business plans, and even interpreting complex human emotions. We are witnessing an acceleration of capabilities unlike any previous technological era. Paradoxically, however, the more powerful these systems become, the more urgent the simple truth becomes […]

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DeepSeek unveils new AI model tailored to Huawei chips as China pushes for technological autonomy

Beijing – DeepSeek is a Chinese startup that has surprised the world with its low-cost artificial intelligence model. 2025released in April twenty four preview of The long-awaited new model It is adapted to Huawei’s chip technology, underscoring China’s growing autonomy in this field. According to DeepSeek, the Pro version of the new model outperforms other […]

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