Artificial intelligence is transforming food innovation by accelerating ingredient discovery, optimizing formulations, and enabling personalized nutrition strategies to improve public health outcomes.
Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.
This reinforces the need for a CV assessment and surveillance before, during, and after the therapy, a researcher says.
A recent systematic review and meta-analysis revealed that maternal vitamin D deficiency or insufficiency (<20–30 ng/mL) is linked to poorer reproductive outcomes in frozen-thawed embryo transfer (FET ...
Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Allogeneic haematopoietic cell transplantation (HCT) remains a potentially curative option for patients with high-risk haematological malignancies, albeit at the cost of substantial morbidity and ...
Background Invasive coronary function testing (CFT) is indicated in patients with refractory angina with non-obstructed coronary arteries (ANOCA). Despite this, questions remain regarding patient ...
AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.
Keir Starmer has long seemed wary of taking on big tech. But now he has vowed on his Substack to bring in new powers “to ...
Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...
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