Researchers from KIIT University, University College Dublin, ICAR and Anglia Ruskin University review how AI-driven methods such as machine learning, federated learning and computer vision tailor nutritional strategies to individual biological profiles. The study also examines AI applications in food manufacturing—predictive maintenance, quality control and waste minimization—to enhance resilience and sustainability in food systems. Key ethical, privacy and explainability challenges are discussed alongside pathways for clinical and industrial integration.

Key points

• Supervised and reinforcement learning models predict individual glycemic responses, reducing postprandial excursions by up to 40%.
• CNN-based image recognition (e.g., YOLOv8, vision transformers) achieves >90% accuracy in food classification for real-time nutrient estimation.
• Federated learning frameworks with secure aggregation enable privacy-preserving multi-center health data analytics under GDPR/HIPAA compliance.

Why it matters: By uniting AI-driven personalization and sustainable manufacturing, this review charts transformative pathways for precision nutrition and resilient food systems.

Researchers at CTRL-labs within Reality Labs unveiled a generic, non-invasive neuromotor interface using an easy-to-wear sEMG wristband and deep learning models to decode gestures, wrist movements, and handwriting across diverse users without calibration.

Key points

• A dry-electrode sEMG wristband records high-fidelity muscle signals across diverse anatomies for human–computer interaction.
• Deep-learning decoders (LSTM, Conformer) trained on multivariate power-frequency features achieve >90% offline accuracy on held-out users.
• Closed-loop tests demonstrate 0.66 targets/s continuous control, 0.88 gestures/s navigation, and 20.9 WPM handwriting without calibration.

Why it matters: A generic non-invasive neuromotor interface democratizes high-bandwidth human–computer interaction, eliminating per-user calibration and invasive surgery for broad accessibility.

Researchers at Stanford, Lehigh University and NYU leverage high-density EEG connectomes—network graphs of brain connectivity derived from EEG—integrated with machine learning to enable precision neuromodulation and biomarker discovery for targeted treatment of neurological conditions.

Key points

• High-density EEG connectome construction using coherence and phase-coupling metrics across cortical regions.
• Application of graph-based machine learning models to extract individualized network biomarkers for neurological disorders.
• Implementation of personalized closed-loop neuromodulation guided by real-time EEG connectome dynamics to enhance neuroplasticity.

Why it matters: Integrating EEG connectomes with machine learning and closed-loop stimulation offers a new precision approach to map and modulate brain networks for targeted therapeutics.

Anjan Chatterjee MD, FAAN, of the University of Pennsylvania surveys recent breakthroughs in longevity science, including epigenetic modulation, gene editing, cellular senescence reprogramming, stem-cell regeneration, and pharmacological interventions like metformin and rapamycin. The article also critically evaluates potential socioeconomic inequities, geopolitical consequences, and the distinction between lifespan extension and eudaimonic well-being.

Key points

• Epigenetic modifications: CRISPR and small-molecule epigenetic modulators reverse age-related chromatin changes in rodent and human cell assays, improving genomic stability metrics.
• Senolytics and reprogramming: Rapamycin and metformin treatments in aged mice clear senescent cells and restore tissue function, measured by mobility and organ-specific biomarkers.
• Stem-cell regeneration: Autologous stem-cell transplants and young plasma factors enhance regenerative capacity in preclinical models, quantified by increased tissue repair rates and reduced inflammatory markers.

Why it matters: Prioritizing lifespan extension without addressing ethical, economic, and quality-of-life dimensions risks exacerbating inequities and undermining genuine human flourishing.