We are reinventing the fundamental science underlying the development of new medicines and their use in individual patients.
The Laboratory of Systems Pharmacology (LSP) is a research and education program in the Harvard Program in Therapeutic Science (HiTS) that advances fundamental science and develops the technology needed for accelerating the invention of new medicines and personalization of patient care.
The lab’s students, faculty and staff study the molecular causes of disease, the ways drugs exert their therapeutic and adverse effects, and the design and interpretation of clinical trials. They also use machine learning and AI to develop the molecular diagnostics needed for precision medicine. LSP research will make the development of life-saving drugs more rapid and predictable, reduce the burden of therapy, lower costs, and improve outcomes for untreatable diseases. LSP training will empower students and fellows for leadership in academic research, industry, and government service.
Explore LSP Research
News, Events, & Updates
LSP Seminar | Triona Ni Chonghaile, Ph.D
“A small molecule screen to identify compounds that kill “unprimed” tumour cells”
April 11th, 2:30pm – 3:30pm EDT
ARM 108 and Zoom
LSP Social Lunch | Juliann Tefft, Ph.D.
“How to Give a Great Talk”
March 22nd, 11:30 – 1pm EDT
ARM 108 and Zoom
LSP in the News
“New 3D Atlas of Colorectal Cancer Promises Improved Diagnosis, Treatment”
NIH Director’s Blog | January 31, 2023
Benjamin Gyori selected for the DARPA ASKEM program
Twitter @HiTSatHarvard
Join us next week at the #RegSci forum with guest speaker @VPrasadMDMPH ! Register at http://bit.ly/40rwFBs
TODAY at 12:00 pm ET, @SantagataLab with the with the @harvardmed #HTAN will discuss using multiplexed tissue imaging to reveal the #SpatialBiology of cancer. https://www.cancer.gov/research/key-initiatives/moonshot-cancer-initiative/seminar-series #CMSSHTAN
We're delighted to announce that our paper on Biomappings has been published Oxford Bioinformatics. 🧵
https://doi.org/10.1093/bioinformatics/btad130
Multi-range ERK responses shape the proliferative trajectory of single cells following oncogene induction http://dlvr.it/Skwz3H
It's been a pleasure to work with @dexterpratt and the @NDExProject team on iQuery.
Interpreting gene sets w/ respect to causal, mechanistic networks can reveal more than simple terms.
Automated assembly of mechanisms with @indrasysbio enables scaling up network creation. https://twitter.com/IndraSysBio/status/1638177751256682501
🔬Do you have a list of genes from your latest experiment?
🌐You can paste them into iQuery on @NDExProject to calculate enrichment against biological networks from @news4go, @signor_database, @WikiPathways, and @theNCI-PID
iQuery is available at: https://www.ndexbio.org/iquery