The Department of Clinical Oncology, Centre of Cancer Medicine, School of Clinical Medicine, LKS Faculty of Medicine of the University of Hong Kong (HKUMed), has developed SUPPORT+, Hong Kong’s first integrated cancer health management application (app). Designed for patients with advanced cancer, the app enables continuous symptom monitoring at home and provides timely nurse-led support to help reduce the need for emergency visits and unplanned hospital admissions. To evaluate the clinical effectiveness of SUPPORT+, a HKUMed-led research team collaborated with six public hospitals to conduct a large-scale randomised controlled trial between 2023 and 2025. The study found that the digital platform effectively helped patients maintain their quality of life, improved self-management confidence, and significantly reduced unplanned hospitalisations. The findings were verbally presented at ASCO (American Society of Clinical Oncology) Annual Meeting 2026 and were published in the journal JAMA Network Open.

In a yearlong NIH-funded clinical trial, bone mineral content in girls ages 9 to 14 who took a soluble corn fiber supplement rose 18.8%, compared with 12.9% for girls on a placebo. Boys did not see the same benefit. 

Data show that Canadian adolescents have faced serious mental health challenges in recent years. Now, a new national study suggests migrant girls may be among those most in need of support. 

A review published in Genes & Diseases highlights lipophagy, the cellular process that selectively breaks down lipid droplets, as a potentially important therapeutic target for conditions driven by disrupted lipid metabolism and oxidative stress. The article brings together current understanding of how this cellular recycling mechanism maintains metabolic balance and how its disruption may contribute to a broad range of diseases.

Scientists at the Institute of Science Tokyo have developed a cholesterol-conjugated PMO/RNA heteroduplex oligonucleotide (Chol-HDO[PMO]) designed for treating disorders of the central nervous system. This advanced nucleic acid technology enables precise targeting of diverse genes while maintaining a strong balance between therapeutic efficacy and safety, offering a versatile platform for developing improved therapies for a wide range of neurological diseases.

A research team has developed a framework that combines machine learning with quantitative microbial risk assessment to predict pathogen concentrations and potential health risks in drinking water sources.