Biography

Kolachalama laboratory research areas:

1) Machine learning and computer vision for precision medicine:

Artificial intelligence is poised to help deliver precision medicine, yet achieving this goal is nontrivial. Machine learning and image processing techniques along with developments in software and hardware technologies allow us to consider questions across scales. We leverage these tools for pattern recognition and to develop biomedical technologies that have diagnostic relevance. Current application areas include Alzheimer’s disease, cancer, chronic kidney disease and osteoarthritis.

2) Device-artery interactions, interfacial mechanics and drug delivery:

We use a multidisciplinary approach to quantify device-artery interactions and the interfacial mechanisms driving the performance of endovascular devices. Previous studies by us and our collaborators have explained the role of physiologic factors in modulating spatiotemporal arterial distribution patterns for drug-eluting devices as a function of intrinsic device design, relative device position and pulsatile nature of blood flow. We have extended models simulating idealized settings of physiology to real world issues and further examine arterial tissue response that varies due to procedural settings, device composition, arterial wall ultrastructure and disease, physiologic changes within complex vascular anatomies, vascular injury and the mode of drug delivery.