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Postpartum depression (PPD) affects up to 15% of individuals after childbirth. Early identification of patients at risk of ...
The effort is part of BharatGen, a multilingual large language model (LLM) initiative led by IIT Bombay and funded by the ...
A machine learning model may be reliable for determining risk for postpartum depression, underscoring the need for greater ...
Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...
Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...
The 2025 hurricane season officially begins on June 1, and it's forecast to be more active than ever, with potentially ...
Sarah Alnegheimish's research interests reside at the intersection of machine learning and systems engineering. Her objective ...
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AI4Beginners on MSNPioneering AI Governance and Federated Learning in Banking IT: Bharath Somu’s Vision for the Future of Financial InfrastructureAs global banking institutions accelerate their digital transformation, leaders in artificial intelligence and machine ...
DevOps and MLOps have similar automation, versioning, and deployment goals, but they rely on separate tools and processes.
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News-Medical.Net on MSNNew machine learning model shows promise in predicting postpartum depression riskPostpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support.
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