According to this review, life expectancy is reduced for Aboriginal and Torres Strait Islanders in comparison to other residents of Australia. This paper calls for indigenous researchers to be involved in implementing relevant health design with local communities in order to bridge the gap.
The article speaks to action points to improving the diagnosis of breast cancer in black women within the UK to achieve greater equity.
Sources used when seeking reproductive health information in the UK are not necessarily the most trusted, with accessibility being an important factor. Ensuring better fertility and reproductive health information during school education may offset the impact of unreliable sources.
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.
This paper tries to model the expenditure that will be required to attain full UHC in India.
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.
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.
