This chapter advances the UN SDG Goal 3: Good Health and Goal 10: Reduced Inequalities by introducing the AI transformation of public health (PubHealth) uniting healthcare systems with the central terms, concepts, and history of PubHealth from ancient quarantines to modern vaccines including milestone developments as successful responses to chronic and infectious diseases, sanitation, workplace safety, poverty, and wars.
For Rare Disease Day 2023, RELX's Global Head of Corporate Responsibility, Márcia Balisciano, speaks to Shiv Gaglani, CEO & Co-Founder of Osmosis.
Elsevier, Current Opinion in Chemical Biology, Volume 72, February 2023
Despite being a relatively new addition to the Omics' landscape, lipidomics is increasingly being recognized as an important tool for the identification of druggable targets and biochemical markers.
Elsevier,

Clinical Decision Support and Beyond (Third Edition): Progress and Opportunities in Knowledge-Enhanced Health and Healthcare, 2023, Pages 715-725

This chapter advances the UN SDG Goal 3: Good Health and Goal 10: Reduced Inequalities by discussing the components of a technical infrastructure to support PHM, including data sources (registries, electronic health records), data analytics tools, patient outreach and engagement tools, and patient tracking dashboards along with real-world examples of PHM programs focused on chronic disease management, genetic testing for hereditary cancers, colorectal cancer screening, COVID-19 testing and vaccination, and tobacco cessation.
This content supports the SDG Goal 3: Good health and well-being by providing the current knowledge regarding standard therapy and suggestions based on the literature for AIH patients being nonresponders to standard therapy and difficult-to-manage AIH patients to standard therapy.
This content supports the SDG Goal 3: Good health and well-being by presenting the antiviral strategies available to treat viral infections, those used to treat chronic viral hepatitis, and the mechanisms of action of drugs approved or at the developmental stage.
The Internet of Things (IoT) has revolutionized the traditional healthcare systems into intelligent system by allowing remote access and continuous monitoring of patient data. Specifically, first a novel scalable blockchain architecture is proposed to ensure data integrity and secure data transmission by leveraging Zero Knowledge Proof (ZKP) mechanism. Then, BDSDT integrates with the off-chain storage InterPlanetary File System (IPFS) to address difficulties with data storage costs and with an Ethereum smart contract to address data security issues.
The paper looks at the developments on some poorly performing districts on SDGs in India to take stock of how far the country is from their national targets.
Evaluating the bias and fairness of ML models has drawn much attention in the machine learning and statistics community. Researchers have proposed methods to assess and mitigate the bias for various applications that could adversely affect underrepresented groups, like recidivism prediction, credit risk prediction, and income prediction.
Noise and air pollution coexist in many urban/industrial environments, and therefore should be studied using co-exposure models. This study indicates that by investigating one individual stressor at a time, we may significantly underestimate the health risks since noise and air pollution have apparent additive health effects on the cardiovascular system and the brain. The study findings are strongly suggestive of additive/synergistic adverse cardiovascular health effects by environmental stressors that typically co-occur in large cities and urban/industrial settings, with a significant contribution to the disease burden and health care costs that may even exceed the most pessimistic scenarios.

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