Rare, Available online 23 February 2023, In Press, Journal Pre-proof
On Rare Disease day, Elsevier has launched a new scientific journal called Rare. Open research in rare diseases. Elsevier dedicates a peer-reviewed publication specifically to these lesser known or unknown disorders, with the aim of having a clinical impact on the lives of patients and their families.
Elsevier,
THE LANCET Public Helath, Volume 8, Issue 3, March 2023, Pages e194-e202
This Article supports SDG 3 by assessing whether access to free health prenatal health care affects adverse outcomes in newborns in Switzerland. The findings suggest that the health-care policy impacted some, but not all, outcomes.
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. In this review we present recent advances of lipid analysis in drug discovery and development. We cover current state of the art technologies which are constantly evolving to meet demands in terms of sensitivity and selectivity. A careful selection of important examples is then provided, illustrating the versatility of lipidomics analysis in the drug discovery and development process.
Journal of Parallel and Distributed Computing, Volume 172, February 2023
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.
Elsevier,
Journal of Biomedical Informatics, Volume 138, February 2023
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.
Elsevier,
Redox Biology, Volume 59, February 2023
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.
