The Lab of the Present: Bridging the Dry-Wet Gap with Agentic AI and the Q-Suite Ecosystem White paper
The modern life sciences organization is caught in a paradox: despite unprecedented investments in automation and computational modeling, the actual pace of drug discovery remains hindered by fragmented data and manual hand-offs. This white paper introduces the Laboratory of the Present, a paradigm shift powered by Quantori’s
Chris is a Chief Strategist at Quantori, working with the executive team to define and drive the company's vision and growth across Life Sciences, Healthcare, and AI. His focus is on anticipating industry shifts and translating market insights into actionable, scalable initiatives that keep Quantori at the forefront of the R&D, clinical, and healthcare data ecosystems.
Scientific Publications
Phylodynamics analysis of HIV epidemic history
Towards responsible artificial intelligence in healthcare—getting real about real-world data and evidence
Clustering-based methodology for comparing multi-characteristic epidemiological dynamics with application to COVID-19 epidemiology in Europe
Moment of inertia as a simple shape descriptor for diffusion-based shape-constrained molecular generation
Supervised machine learning for microbiomics: Bridging the gap between current and best practices
Toward a responsible future: recommendations for AI-enabled clinical decision support
Explainable AI to identify radiographic features of pulmonary edema
Identifying the capabilities for creating next-generation registries: a guide for data leaders and a case for “registry science”
Structure Seer – a machine learning model for chemical structure elucidation from node labelling of a molecular graph
Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization
Excess mortality in Ukraine during the course of COVID-19 pandemic in 2020–2021
Use of semi-synthetic data for catheter segmentation improvement
A multi-reference poly-conformational method for in silico design, optimization, and repositioning of pharmaceutical compounds illustrated for selected SARS-CoV-2 ligands
Novel Efficient Multistage Lead Optimization Pipeline Experimentally Validated for DYRK1B Selective Inhibitors
AnFiSA: an Open-Source Computational Platform for the Analysis of Sequencing Data for Rare Genetic Disease
PyVaporation: A Python Package for Studying and Modelling Pervaporation Processes
Automatic Scoring of COVID-19 Severity in X-ray Imaging Based on a Novel Deep Learning Workflow
Indirect supervision applied to COVID-19 and pneumonia classification
Analysis of 329,942 SARS-CoV-2 Records Retrieved from GISAID Database
Quantori is excited to share research findings that are available on Cold Spring Harbor Laboratory's bioRxiv preprint server for biology "Analysis of 329,942 SARS-CoV-2 records retrieved from GISAID database"