Computing the Future of the Lab
Computational biology expert Keaun Amani shares his advice and insights on AI and machine learning tools for the clinical lab
Computational biology expert Keaun Amani shares his advice and insights on AI and machine learning tools for the clinical lab
With the global cancer burden growing, is a universal germline genomic testing approach the key to more effectively combating the disease?
Recent advances in pharmacogenomic testing—and their role in ensuring safe, effective treatment selection for precision oncology
When it comes to cancer, patients’ greatest fear is diagnostic delays—and they believe digital pathology and AI can reduce those delays
In an era when genetic and genomic testing are theoretically affordable and accessible, why do so many patients remain undiagnosed?
How are advances in point-of-care testing altering the genetic testing landscape, and what does this mean for the clinical lab?
The current landscape of molecular hematopathology—and what steps clinical labs can take to stay at the forefront of the discipline
The latest developments in liquid biopsy and ctDNA testing and why they should be of interest to clinical laboratory professionals
Exploring the opportunities, challenges, and current research in lab-based testing for mental health disorders
What lab tests currently inform mental health care—and how might the testing landscape change as our understanding and technologies evolve?
Andreas Jeromin, PhD, chief scientific officer at ALZPath, discusses the current landscape of blood-based AD tests and their future.