Dimitris K. Agrafiotis

Biogen (United States), Novartis (United States)

Papers

Total Citations

240

H-Index

About

Dimitris K. Agrafiotis is a pioneering researcher at the intersection of computational chemistry, machine learning, and neurorehabilitation. His work spans two distinct but impactful domains: drug discovery informatics and stroke recovery assessment. In cheminformatics, he introduced the application of the Kolmogorov-Smirnov statistic to library design (60 citations), a method that revolutionized how researchers evaluate molecular diversity in compound libraries. More recently, his groundbreaking work in stroke rehabilitation has redefined how motor recovery is measured. His landmark 2013 study (156 citations) demonstrated that robotic measurement of arm movements after stroke can establish objective biomarkers of motor recovery, moving beyond subjective clinical scales. Building on this, his 2021 paper (24 citations) showed that robotic kinematic data can accurately predict clinical stroke scales and identify improved biomarkers of motor impairment, offering a path toward more reliable, rater-independent endpoints in clinical trials. Agrafiotis’s contributions bridge computational methods and clinical neuroscience, providing tools that enhance both drug design and patient assessment. His work continues to shape how researchers and clinicians quantify human movement and recovery.