Background image

Use Cases for Artificial Intelligence and Machine Learning in Early-stage Life Sciences
White paper

Executive summary
Steven LabkoffMay 17th, 2023

In every generation, certain technological advancements in healthcare have emerged that have “changed everything.” For example, the discovery of penicillin in the 1940s revolutionized medicine, transforming what was once a potentially deadly strep throat into a trivial infection. We now find ourselves at the dawn of another paradigm-shifting event: the rise of artificial intelligence (AI) and machine learning (ML) in medicine.

Among the various domains AI is set to revolutionize, none will be more profoundly affected than the life sciences in the drug discovery and development areas. The life sciences industry presents an array of use cases for AI and ML, ranging from accelerating research and development to optimizing clinical trials and improving patient outcomes. In this paper, we will explore ten use cases of AI and ML in research and development within the life sciences industry.

Get your copy
This site is protected by reCAPTCHA Enterprise and the Google Privacy Policy and Terms of Service apply
About the author
Steven Labkoff Quantori
Steven Labkoff
Global Head, Clinical and Healthcare Informatics

Steven Labkoff is one of the leading clinician-informaticians in the US today with nearly 30 years of experience in the life sciences and healthcare sector. Trained in medical informatics, cardiology, and internal medicine (Harvard, MIT, University of New Jersey, and University of Pittsburgh), Steve has deep expertise in generating, managing, and analyzing data to accelerate drug development, personalize patient care, and improve medical outcomes.

Scientific Publications

Machine Learning Quantori

Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization

Read more >
COVID Map

Excess mortality in Ukraine during the course of COVID-19 pandemic in 2020–2021

Read more >
Medical Data Quantori

Use of semi-synthetic data for catheter segmentation improvement

Read more >
Abstract purple art

A multi-reference poly-conformational method for in silico design, optimization, and repositioning of pharmaceutical compounds illustrated for selected SARS-CoV-2 ligands

Read more >
Quantori ACS Publications

Novel Efficient Multistage Lead Optimization Pipeline Experimentally Validated for DYRK1B Selective Inhibitors

Read more >
Quantori AnFiSa

AnFiSA: an Open-Source Computational Platform for the Analysis of Sequencing Data for Rare Genetic Disease

Read more >
Quantori merch

PyVaporation: A Python Package for Studying and Modelling Pervaporation Processes

Read more >
Quantori Covid-19 and pneumonia research

Automatic Scoring of COVID-19 Severity in X-ray Imaging Based on a Novel Deep Learning Workflow

Read more >
Medicine masks

Indirect supervision applied to COVID-19 and pneumonia classification

Read more >
Analysis of SARS-CoV-2 Records

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"

Read more >
COVID Mask

Investigating the first stage of the COVID-19 pandemic in Ukraine using epidemiological and genomic data

Read more >
local stochastic model of COVID-19 transmission

Development of an interactive, agent-based local stochastic model of COVID-19 transmission and evaluation of mitigation strategies illustrated for the state of Massachusetts, USA

Read more >
Pneumonia X-RAY

COVID-19/Pneumonia Classification Based on Guided Attention

Read more >