Anticancer Candidate Strengthens Bones and Prevents Weight Gain in Postmenopausal Mice

The results of a preclinical study by researchers at the University of East Anglia suggest that an experimental anticancer drug could stop osteoporosis and help women prevent weight gain after the menopause. Their study in mice found that the small molecule drug CADD522 not only protected against osteoporosis but could also reduce body fat and reverse some of the metabolic changes linked to menopause. Currently in development for cancer therapy, CADD522 is a small molecule inhibitor of the transcription factor RUNX2, which is helps to drive the growth and spread of several cancers.

RNAV8 Bio Joins ARPA-H Team to Pioneer Programmable RNA Medicines

RNAV8 Bio (pronounced Renovate Bio) has been selected to receive funding from the Advanced Research Projects Agency for Health (ARPA-H) for PROPEL (Programmable RNA for Optimal Precision in Therapeutic Efficacy and Localization).

Clean Cells Broadens Viral Safety Testing Portfolio with NGS

France-based Clean Cells launched its next-generation sequencing (NGS)-based safety testing for viral matrices, such as viral vectors and recombinant preparations. The company also announced that it had acquired French bioinformatics CRO Xegen, which specializes in NGS data analysis.

Moonwalk to Use $70 Million to Develop RNAi Therapies for Obesity, Cardiometabolic Disease

Biotech company Moonwalk Biosciences announced that it has raised $70 million from an oversubscribed series B financing round. The company plans to use the funds to continue developing its adipose-targeted RNAi therapies for obesity and cardiometabolic conditions. 

‘Hot Girl Soda’: Female-Founded Feisty Bags Funding for Fizzy Plant Protein Drinks

Clear, sparkling drinks are leading the next wave of the protein craze.Consumers want options that don’t feel as dense or heavy as protein shakes. Vy Cutting was one of them.

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UK Scientists Use AI to Identify Nearly 800 Plant Proteins for Sustainable Food

The role of artificial intelligence (AI) in ingredient discovery is becoming increasingly prominent, with the technology significantly cutting the timelines and costs associated with such research.

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