Weekly Spotlight - 31.10.24

In the News

AI's Role in Pharma: Security and Data Sharing Insights

Dr. Becky Upton discusses AI's growing role in pharmaceuticals, highlighting benefits in drug discovery and precision medicine. She addresses security concerns, data privacy, and regulatory challenges. Companies are slowly embracing data sharing but face hurdles like data silos and compliance. Leadership and robust data management are crucial for AI success.

Havah Therapeutics to Share Promising Breast Cancer Data at Conference

Havah Therapeutics will present real-world data at the RiseUp for Breast Cancer Conference, showcasing their innovative implant therapy combining testosterone and anastrozole to target androgen receptors and reduce breast cancer risk. The study involves 35 pre-menopausal women, highlighting potential in improving breast cancer treatment outcomes.

Tempus and JW Pharma Collaborate to Advance Oncology Research

Tempus and JW Pharmaceutical have partnered to enhance early cancer research using real-world data and biological modelling. This collaboration aims to improve drug development in Korea by leveraging Tempus' AI and organoid models. Both companies anticipate significant advancements in cancer therapeutics, aligning with global trends in precision medicine.

Living Rare Study: Transforming Rare Disease Understanding and Support

The National Organization for Rare Disorders (NORD) has launched the Living Rare Study, a pioneering initiative to gather data on challenges faced by those with rare diseases. This study aims to improve policy, access, and resources, offering hope for better healthcare and support for affected individuals and families.

Process Mining Enhances mHealth Data Analysis for Better Health Insights

Process mining in mHealth data analysis offers insights into health conditions by examining temporal patterns in mobile health data. This approach complements machine learning, enhancing understanding of symptom variability and treatment effects. The TrackYourTinnitus project exemplifies its potential, providing insights for personalised healthcare and improved patient outcomes.