How Can Diverse Genomic Approaches Improve Rare Disease Research?
Tomi Pastinen, MD, PhD
Multiomic techniques can robustly screen and identify often-missed genetic determinants of rare diseases
Bioinformatics
Expanding Access to Genomic Testing for Cancer Patients
Morgana Moretti, PhD
Overcoming budget constraints can ensure equal access to genomic medicine to improve cancer care
Fine-Tuning Single-Cell Tumor Profiling to Predict Cancer Outcomes
Swathi Kodaikal, MSc
Newly developed computational tool accurately identifies, characterizes, and differentiates cell types in tumor samples
Clinical Lab Automation: Improving Patient Privacy and Data Security
Morgana Moretti, PhD
Implementing best practices for automated system security lets clinical labs protect patient data and ensure legal compliance
AI-Driven Tool Reliably Diagnoses Blood Disorders
DKFZ German Cancer Research Center
Trained on patient data, the open-source algorithm can aid hematological diagnoses and even genetic analyses
Eliminating the Placebo/Comparator Arm in Clinical Trials with Advanced Analytics
Gen Li, PhD, MBA
Predictive data analytics can be leveraged to design, recruit, conduct, analyze, and modernize clinical trials
Novel AI Tool Analyses Cancer Cells' Genome During Surgery
Harvard Medical School
Real-time brain tumor profiling can guide surgical and treatment decisions
Embracing Data-Driven Preclinical Drug Development
Kristen Eisenhauer, BS, EMBA
Having near real-time access to data boosts the efficiency of the drug development process
WHO Calls for Safe and Ethical Use of AI for Health
World Health Organization
The organization shares concerns about LLMs not adhering to key values and core principles
New Clinical Tool Predicts Cancer Risk in Patients with Clonal Hematopoiesis
Dana-Farber Cancer Institute
Findings may drive clinical trials for potential treatment options for CH patients with high blood cancer risk