The Center for Cancer Systems Pharmacology

We work at the convergence of science, medicine, and engineering to reinvent the process of drug discovery and treatment.

The Harvard Program in Therapeutic Science (HiTS) is an academic research and education program that advances the fundamental science underlying human diseases and drug discovery in order to improve patient care.

 

Our faculty, trainees, and staff study disease using innovative approaches that fuse laboratory investigation, clinical research, and computer science to accelerate the invention of the life-saving medicines and precision diagnostics that are needed to optimally treat individual patients.

 

HiTS brings together two approaches:

The Laboratory of Systems Pharmacology makes it possible to study the changes that promote disease and the ways in which therapeutic drugs function at the molecular level.

The Center for Regulatory Science focuses on evaluating drugs in clinical trials and balancing the benefits and risks of new medicines.

LSP
CRS
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Explore HiTS Research

thumbnail for publication: Changing fitness effects of mutations through long-term bacterial evolution
Changing fitness effects of mutations through long-term bacterial evolution
Couce and Limdi et al 2024. Science.
Publication
thumbnail for publication: High-plex immunofluorescence imaging and traditional histology of the same tissue section for discovering image-based biomarkers
High-plex immunofluorescence imaging and traditional histology of the same tissue section for discovering image-based biomarkers
Lin, Chen, Campton, et al. 2023. Nature Cancer
Publication
thumbnail for publication: Sequential apoptotic and multiplexed proteomic evaluation of single cancer cells
Sequential apoptotic and multiplexed proteomic evaluation of single cancer cells
Lecky et al. 2023. Science Advances.
Publication
thumbnail for publication: Development and validation of time-to-event models to predict metastatic recurrence of localized cutaneous melanoma
Development and validation of time-to-event models to predict metastatic recurrence of localized cutaneous melanoma
Wan et al. 2024. J Am Acad Dermatol.
Publication
thumbnail for publication: Association Between Regulatory Submission Characteristics and Recalls of Medical Devices Receiving 510(k) Clearance.
Association Between Regulatory Submission Characteristics and Recalls of Medical Devices Receiving 510(k) Clearance.
Everhart, et al. 2023. JAMA.
Publication
thumbnail for publication: Automated assembly of molecular mechanisms at scale from text mining and curated databases
Automated assembly of molecular mechanisms at scale from text mining and curated databases
Bachman et al. 2023. Mol Syst Biol.
Publication
thumbnail for publication: US Food and Drug Administration Approval of High-risk Cardiovascular Devices for Use in Children and Adolescents, 1977-2021.
US Food and Drug Administration Approval of High-risk Cardiovascular Devices for Use in Children and Adolescents, 1977-2021.
Wunnava, et al. 2023. JAMA.
Publication
thumbnail for publication: Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia
Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia
Charpignon et al. 2023. Nature Communications.
Publication
thumbnail for publication: Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer
Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer
Lin, Wang, Coy et al. 2023. Cell
Publication
thumbnail for publication: The spatial landscape of progression and immunoediting in primary melanoma at single cell resolution.
The spatial landscape of progression and immunoediting in primary melanoma at single cell resolution.
Nirmal et al. 2024. Cancer Discovery.
Publication
thumbnail for publication: UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues.
UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues.
Yapp, Novikov, et al. 2023. Communications Biology.
Publication
thumbnail for publication: Mechanistic model of MAPK signaling reveals how allostery and rewiring contribute to drug resistance
Mechanistic model of MAPK signaling reveals how allostery and rewiring contribute to drug resistance
Fröhlich et al. 2023. Molecular Systems Biology.
Publication

News, Events, & Updates

Regulatory Science Forum

“Opportunities for Large Language Models in Regulatory Science“

Dr. Tim Miller, Computational Health Informatics Program (CHIP), Boston Children’s Hospital 

Tuesday, September 17th, 12:00pm ET

Register here!

LSP in the News

A Step Toward New Solutions for Inflammatory Pain

HMS News and Research |

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HiTS in the News

Seeing the Human Behind the Data

HMS News and Research |

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