ABOPM Seal
Donate Today Log In
Precision Medicine · Multi-Omics

The Full Picture Through
Multi-Omics Integration

Genomics · Proteomics · Metabolomics · Epigenomics · Microbiomics · AI-Driven Insights

6+

Omic Layers

Billions

Data Points

100%

Patient-Centered

Board

Certified Standard

Department Overview

Sys·tems
Bi·ol·o·gy

/ ˈsistəmz bīˈäləjē /  ·  noun

noun  ·  computational biology

The quantitative, model-driven study of biological systems as integrated wholes — mapping the dynamic interactions between genes, proteins, metabolites, and cellular networks to understand how emergent properties of health and disease arise from molecular complexity.

Origin

From Greek systēma (organized whole) + Latin biologia (study of life). Systems biology emerged as a formal discipline in the early 2000s — pioneered by Leroy Hood and colleagues — in direct response to the reductionist limits of molecular biology, which had catalogued individual components without explaining how their interactions produce living function or complex disease.

The Systems Biology Department at the American Board of Precision Medicine trains clinicians to think beyond individual biomarkers and isolated pathways — integrating transcriptomic, proteomic, metabolomic, and epigenomic data into dynamic computational models that reveal how biological networks maintain health, break down in disease, and respond to intervention.

From gene regulatory network modeling and Boolean pathway simulations to flux balance analysis, attractor state theory, and multi-scale biological modeling, this department equips physicians with the quantitative literacy to interpret complex omic datasets not as static snapshots, but as windows into the living dynamics of human physiology — and the points of leverage within them.

Disease does not arise from a single broken gene — it emerges from the reorganization of entire biological networks. At ABOPM, Systems Biology provides the computational and conceptual framework that transforms raw omic data into a map of the body as it truly operates: interconnected, dynamic, and deeply individual.

20k+

Interacting Genes

Network

Disease Modeling

Multi

Scale Integration

Systems Biology Department · ABOPM

Where Network Science Meets
Clinical Purpose

The Systems Biology Department at ABOPM operates at the convergence of computational modeling and patient care — training physicians to understand biological networks, emergent disease mechanisms, and dynamic pathway interactions, and to translate that systems-level understanding into transformative clinical outcomes across every specialty.

Network Biology

Advancing research in biological network modeling, protein interaction maps, gene regulatory circuits, and signal transduction dynamics — revealing how perturbations propagate across complex living systems to drive health and disease.

Clinical Translation

Bridging systems biology science and bedside medicine — developing board-certified frameworks for network-based disease stratification, emergent phenotype interpretation, and systems-informed precision therapeutics across complex and chronic conditions.

Physician Education

Building the next generation of systems medicine clinicians through rigorous board standards, interdisciplinary training, and collaboration across computational biology, bioinformatics, network pharmacology, oncology, and translational research.

"No single pathway tells the full story. The Systems Biology Department at ABOPM trains physicians to think in networks — modeling how genes, proteins, metabolites, and cells interact dynamically to produce the emergent reality of human health and disease."

American Board of Precision Medicine · Systems Biology Department
Systems Biology Department · ABOPM

Translating Network Science
Into Clinical Impact

Living systems are not collections of isolated parts. Genes regulate proteins, proteins shape metabolites, metabolites influence the microbiome, and every layer feeds back on every other. Understanding biology as an integrated network is not a research luxury — it is the clinical foundation the future of medicine demands.

Systems biology equips clinicians to move beyond reductionist diagnoses and into network-level understanding — revealing how perturbations propagate across biological circuits, identifying emergent disease signatures no single biomarker can capture, and delivering care that addresses the true complexity of each patient's biology.

Systems Network Gene Regulation Protein Interactions Signal Signal Pathways Metabolic Networks Feedback Loops Network Modeling Pathway Analysis Emergent Phenotypes Disease Modules

By mastering systems biology, clinicians gain the power to:

01
See Biology as a Network
Move beyond isolated biomarkers and organ-system thinking to understand how genes, proteins, metabolites, and cells interact as a dynamic, interconnected system — revealing disease mechanisms invisible to reductionist approaches.
02
Model Disease at the Systems Level
Apply network topology, pathway enrichment, and computational modeling to map how perturbations propagate through biological circuits — identifying the true drivers of complex, multifactorial disease with precision no single assay can achieve.
03
Identify Emergent Disease Signatures
Recognize the emergent properties that arise from network interactions — discovering diagnostic and prognostic signatures that span biological layers and outperform any individual marker in sensitivity, specificity, and clinical utility.
04
Target Network Vulnerabilities
Use systems-level disease mapping to identify high-impact therapeutic nodes — selecting and sequencing interventions that address root network dysregulation rather than managing downstream symptoms alone.
05
Lead the Next Era of Medicine
Become the systems-trained clinician your institution needs — the physician who integrates network biology, computational insight, and clinical expertise into a unified strategy that transforms outcomes for the most complex patients.

Why Systems Biology Fluency Is Non-Negotiable

The networks are mapped. The tools are clinical-grade. The question is, are you ready to use them?

Patient Outcomes

Systems-level diagnosis and treatment consistently outperforms single-target approaches in complex and chronic disease — delivering measurably better outcomes by addressing the network, not just the symptom.

Future-Ready Practice

Network medicine, digital twins, and AI-driven pathway analysis are entering clinical workflows across oncology, neurology, and chronic disease — physicians fluent in systems biology will lead this transformation.

Clinical Authority

Board certification in systems biology marks you as the physician who sees the whole network — a rare systems-trained clinician capable of leading precision medicine and network medicine programs at the institutional level.

Interdisciplinary Impact

Systems biology transcends every specialty — oncology, immunology, neurology, endocrinology, cardiology, and beyond — giving you a universal framework to address the most complex biological challenges across all of medicine.

Active research areas driving systems biology forward:

01
Biological Network Modeling
Constructing and analyzing protein interaction networks, gene regulatory circuits, and signaling pathway maps — applying graph theory, network topology, and computational modeling to reveal how biological systems are organized and how they break down in disease.
02
Disease Module Identification
Identifying the network neighborhoods — disease modules — where pathological perturbations cluster and propagate, enabling more precise disease classification, target identification, and therapeutic intervention strategies grounded in network architecture rather than symptom profiles.
03
Computational Systems Modeling
Applying dynamic systems modeling, ordinary differential equations, and agent-based simulation to capture the time-dependent, feedback-driven behavior of biological circuits — predicting how perturbations evolve and how therapeutic interventions will propagate across the network.
04
Emergent Phenotype Discovery
Characterizing the emergent biological properties that arise from network interactions — identifying clinically meaningful phenotypes, disease trajectories, and therapeutic response patterns that cannot be predicted from any individual molecular component in isolation.
05
Network-Based Biomarker Discovery
Leveraging network centrality, hub gene analysis, and pathway perturbation scores to identify systems-level biomarkers — signatures that reflect the state of entire biological networks rather than isolated molecules, achieving greater diagnostic and prognostic power.
Systems Biology Research · ABOPM
Pushing the Frontier of Network Medicine Science

The network medicine revolution is not a future event — it is happening now. Biological network modeling, disease module identification, and computational systems analysis are actively reshaping how complex disease is understood, classified, and targeted at the systems level across every clinical discipline.

The ABOPM Systems Biology Department positions clinicians at the center of this transformation — equipping them with the network science literacy, computational frameworks, and board-certified credentials to lead systems-level medicine in any specialty.

$8.1B
Systems biology market projected by 2030
More targets identified via network vs. single-gene
60%
Of drug targets are network hub genes
Explore Blog Topics Read clinical insights, case studies & systems biology updates on our blog
Systems Biology Department · ABOPM

Meet Our Leadership

Director of Systems Biology

Lee Hood, MD, PhD — Director of Systems Biology
Director
Systems Biology
Director of Systems Biology National Medal of Science

Lee Hood, MD, PhD

Biomedical Scientist · Pioneer of Systems Biology · Co-Founder, Institute for Systems Biology
"Systems biology is transforming medicine from a reactive, disease-focused discipline into a proactive, wellness-centered science — one that reads the full complexity of human biology to predict, prevent, and reverse disease."

Dr. Leroy Hood is one of the world's most distinguished biomedical scientists and a founding pioneer of systems biology. He co-founded the Institute for Systems Biology in 2000 and served as its first President until 2017. He is one of only a small number of people worldwide elected to all three U.S. National Academies: Sciences, Engineering, and Medicine.

With an MD from Johns Hopkins and a PhD from Caltech, Dr. Hood spent 25 years on the Caltech faculty, chaired the Biology Department, and helped develop the instruments critical to the Human Genome Project. He later founded the Department of Molecular Biotechnology at the University of Washington and co-founded 15 biotechnology companies, including Amgen and Applied Biosystems.

His research spans Alzheimer's disease, cancer, wellness science, and a pioneering one-million-patient genome/phenome project. He has authored more than 850 peer-reviewed publications and holds 36 patents. His major honors include the Lasker Award, Kyoto Prize, and the Fritz J. and Delores H. Russ Prize.

850+
Peer-Reviewed Publications
36
Patents
15
Biotech Companies Co-Founded
3
U.S. National Academies Member
Connect on LinkedIn

Director of Precision Pathology, Systems Biology & Research

Mima Geere, MD, MS, IFMCP — Director of Precision Pathology, Systems Biology and Research
Director
Precision Pathology & Research
Director of Precision Pathology & Research Founder, Mimansa

Mima Geere, MD, MS, IFMCP

Clinical Pathologist (UCSF) · Functional Medicine Expert · Systems Biology & Longevity Pioneer
"Trailblazer in systems-based longevity and integrative diagnostics — working at the convergence of technology and precision medicine to elevate truth as the core metric in clinical care."

Dr. Mima Geere is a trailblazer in systems-based longevity and integrative diagnostics, bringing over a decade of industry experience at the convergence of technology and precision medicine. With a strong foundation in startup environments and translational research, she combines rigorous scientific inquiry with functional medicine principles.

Her foundation in clinical pathology from UCSF and advanced postdoctoral training in clinical informatics and environmental toxicology informs her pioneering multi-omics frameworks — integrating genomics, metabolomics, and AI-driven modeling into personalized, ethical healthcare pathways. As Founder of Mimansa, she advances mind-body medicine and systems thinking alongside cutting-edge diagnostics.

Her vision centers on elevating truth as the core metric in medicine — through real-world data, digital twin simulation, and blockchain-enabled research collaboration — with a commitment to holistic longevity strategies that use science as the benchmark for advancing knowledge and clinical care.

Multi-
Omics
Precision Pathology & Systems Biology Integration
Pioneering multi-omics frameworks that bridge genomics, metabolomics, AI-driven modeling, and functional medicine into unified, patient-specific clinical pathways across longevity and complex disease.
10+
Years Industry Experience
UCSF
Clinical Pathology Foundation
IFMCP
Functional Medicine Certified
Connect on LinkedIn

Faculty Members

Our faculty roster is growing — announcements coming soon.

Coming Soon

Faculty position open

Coming Soon

Faculty position open

Coming Soon

Faculty position open

Coming Soon

Faculty position open

Think you're the right fit for a faculty position?

Get Involved
Genomics Department · ABOPM

Shaping the Future
of Precision Medicine

As precision medicine continues to evolve, genomics will play an increasingly central role in redefining how disease is understood, predicted, and treated at the molecular level.

The Genomics Department at ABOPM remains committed to advancing this field through scientific leadership, clinical innovation, and collaborative discovery. Together with our global community of physicians and researchers, we are helping shape the future of next-generation healthcare.

Featured Insights

Insights Shaping
Precision Medicine

Explore ABOPM perspectives on genomics, multi-omics, systems thinking, clinical innovation, and the future of physician leadership in precision medicine.

Multi-Omics Clinical Innovation Precision Prevention Physician Leadership
Liquid Biopsy and Early Cancer Detection: Promise and Limitations

Liquid Biopsy and Early Cancer Detection: Promise and Limitations

Liquid biopsy is transforming cancer detection through minimally invasive genomic testing, offering new opportunities for earlier diagnosis and monitoring. ...more

Precision Oncology

June 05, 20269 min read

Polygenic Risk Scores and the Genomic Data Gap: Promise, Limitations, and Equity in Precision Medicine

Polygenic Risk Scores and the Genomic Data Gap: Promise, Limitations, and Equity in Precision Medicine

Polygenic risk scores may transform disease prediction, but gaps in genomic diversity continue to limit equity, accuracy, and access in precision medicine across global populations. ...more

Population Precision

May 26, 20269 min read

Artificial Intelligence in Precision Medicine

Artificial Intelligence in Precision Medicine

Artificial intelligence is reshaping precision medicine by improving diagnostics, predicting treatment response, and enabling more personalized, data-driven healthcare strategies. ...more

On the Frontier

May 20, 20269 min read

Advancing education, certification, and leadership to shape a genomics-driven, data-intelligent future of healthcare.

2810 N Church St., PMB 364141
Wilmington, Delaware 19802-4447 US

+1 (954) 944-2717


© 2023-2025 American Board of Precision Medicine, Inc. All Rights Reserved.