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Machine Learning for Disease Prediction Machine learning (ML) has revolutionized the landscape of modern medicine by providing advanced computational tools capable of learning complex patterns from biomedical data and enabling accurate disease prediction, early diagnosis, and personalized treatment strategies. The application of ML in  disease  prediction integrates large-scale datasets from diverse sources such as genomics, proteomics, electronic health records (EHRs), imaging modalities, wearable sensors, and social determinants of health to uncover subtle correlations that often elude human observation. By employing supervised, unsupervised, and reinforcement learning algorithms, machine learning can identify high-risk individuals, predict  disease  progression, and assist clinicians in making evidence-based decisions that improve patient outcomes and reduce healthcare costs. In supervised learning, algorithms such as decision trees, random forests, support vecto...

Biodiversity Loss and Emerging Diseases Biodiversity loss represents one of the most critical and far-reaching environmental crises of the modern era, deeply intertwined with the emergence, transmission, and re-emergence of infectious diseases. The intricate web of life on Earth, encompassing plants, animals, microorganisms, and their ecosystems, forms the foundation of planetary health and resilience. However, human-driven disruptions—deforestation, agricultural expansion, urbanization, pollution, and climate change—have accelerated species extinction and ecological imbalance at an unprecedented rate. This erosion of  Biodiversity  dismantles natural barriers that regulate pathogens, alters host–pathogen interactions, and creates ecological niches that favor disease emergence. The resulting phenomenon, known as the “pathogen spillover effect,” has made  Biodiversity  loss a significant determinant of global health security and a vital area of research within the On...

 Pesticide Exposure and Human Health! Pesticide exposure and its multifaceted impact on human health represent a growing concern that intersects toxicology, environmental science, occupational safety, public health, and global policy. Pesticides, encompassing insecticides, herbicides, fungicides, rodenticides, and fumigants, are designed to suppress or eliminate pests that threaten agricultural productivity, public hygiene, and disease control. However, their chemical potency often extends beyond target organisms, exerting collateral effects on human physiology through acute, chronic, and transgenerational pathways. Humans encounter pesticides via multiple exposure routes—dietary ingestion through contaminated food and water, inhalation of airborne residues during spraying or drift, dermal absorption from occupational handling, and even transplacental transmission to the developing fetus. Once absorbed, pesticides can undergo bioaccumulation and biomagnification in tissues, partic...

  Food Security and Nutrition Science Food security and nutrition science represent two deeply intertwined pillars of global health and sustainable development. Food security refers to the condition in which all individuals, at all times, have physical, social, and economic access to sufficient, safe, and nutritious food that meets their dietary needs and food preferences for an active and healthy life.  nutrition science  on the other hand, explores the biological and physiological processes by which organisms utilize food substances to sustain growth, repair tissues, and maintain vital functions. Together, these disciplines form the foundation of public health policy, agricultural innovation, and socioeconomic stability, addressing the multifaceted challenge of feeding a growing global population while ensuring environmental sustainability, equity, and resilience. The World Health Organization (WHO) and the Food and Agriculture Organization (FAO) recognize food secur...

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