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Printable Handouts
Navigable Slide Index
- Introduction
- The grand challenge for biology and medicine
- Five paradigm changes in biology
- Central features of systems medicine
- Big data is one essence of systems medicine
- Systems medicine
- Systems features of big data
- A systems medicine for dealing with complexity
- Prion-induced neurodegeneration in mice
- Transcriptome analysis for DEGs
- Disease-perturbed networks for prion disease
- Sequential disease-perturbation
- 10 disease-perturbed dynamical networks
- Dynamics of prion-induced neurodegeneration
- 200 brain-specific blood proteins
- Targeted MS proteomics
- 15 brain-specific blood proteins
- Emerging technologies
- 3rd generation DNA sequencing
- Systems strategies for systems medicine
- Family genome sequencing
- Whole genome sequencing of family of four
- Open-source family genome software pipeline
- Alternating hemiplegia of childhood
- A systems driven strategy
- High-throughput technologies
- Blood as a window to health and disease
- A systems approach to blood diagnostic
- Conflict of interest statement
- Indeterminate pulmonary nodules
- Lung nodules found by CT scan in USA
- Distinguishing benign from malignant
- Lung cancer blood biomarker panel
- Three lung cancer networks monitored
- Blood biomarker panels for detecting disease
- Systems medicine has reached a tipping point
- Systems medicine is transforming healthcare
- Convergence of three thrusts in healthcare
- The emergence of P4 medicine
- P4 differs from population-based medicine
- Conceptual themes of P4 medicine
- Understanding health and disease
- A Framingham-like P4 pilot project
- Health: 100,000 well patients
- Continuous monitoring of health/data collection
- Actionable traits
- 100 pioneer wellness project
- 96% of the 100 pioneers have actionable traits
- How will we proceed?
- Scaling up rapidly
- Additional comments on the 100K project
- 100K project: objectives/benefits
- 100K project will transform healthcare
- 100K project lead to five healthcare implications
- Acknowledgements
Topics Covered
- Systems Medicine and Proactive P4 Medicine
- Systems medicine has reached a tipping point
- Blood is window to distinguishing health from disease
- Large-scale, multiparameter, digital-age, longitudinal, Framingham-like clinical trials that will transform medicine
- Transitions from health to disease and back will give fundamental insight into early origins of disease
Talk Citation
Hood, L. (2014, November 4). Systems medicine and proactive P4 medicine: revolutionizing healthcare. Predictive, preventive, personalized and participatory [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 22, 2024, from https://doi.org/10.69645/UMWO7810.Export Citation (RIS)
Publication History
Financial Disclosures
- Dr. Lee Hood has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
Systems medicine and proactive P4 medicine: revolutionizing healthcare. Predictive, preventive, personalized and participatory
Published on November 4, 2014
45 min
A selection of talks on Methods
Transcript
Please wait while the transcript is being prepared...
0:00
This is a lecture
on Systems Medicine
and Proactive P4 medicine,
Revolutionizing Health Care.
Is by Lee Hood, President
of the Institute
for Systems Biology in
Seattle, Washington.
0:16
The grand challenge for
biology and medicine
has always been deciphering the
incredible biological complexity
that are intrinsic to both.
I remember early in the
1970s when I went to Caltech,
puzzling over biological
complexity, and beginning
to think in the earliest embryonic
ways about systems approaches
to deal with that complexity, it was
clear that we were really lacking
in both technological and
conceptual approaches to complexity.
0:54
It is amusing now to look over
my career of some 40 years,
and to see that I had actually
participated in five paradigm
changes in biology that
dealt with complexity.
The first of these
paradigm changes was
bringing engineering to biology.
I developed five
instruments that allowed
us to analyze and synthesize
proteins and genes.
One of these was the
automated DNA sequencer.
And these instruments led
to high throughput biology,
and this, of course, ended up
in creating the age of big data
in biology that we're
all so familiar with.
The second paradigm change
had to do with the fact
that while inventing the
automated DNA sequencer,
people were beginning to consider
the Human Genome Project.
And I was invited to
the first meeting ever,
and it took us five
years to persuade
a very skeptical
biological audience.
But indeed, the Human Genome Project
gave systems approaches to biology
an enormous boost forward
by creating a complete parts
list for human genes, and by
inference for the human proteins.
The other advance that the
automated DNA sequencer brought
is I realized how to be successful
we had to integrate the disciplines
of engineering, computer
science, chemistry, and biology.
And I began then arguing that
biology should create departments
that are cross-disciplinary
in nature,
and that integrate into
the biology department,
the technology experts
needed to invent
the technologies of
the future for biology.
This enabled me to create
the Department of Molecular
Biotechnology at the
University of Washington,
with the generous
help with Bill Gates.
And that department
went on over eight years
to just revolutionize
various aspects
of genomics, and proteomics,
and cell biology.
It was clear that I needed to
develop systems biology, again,
to really deal with the complexity.
And I ended up resigning from
the University of Washington
and creating my own
institute, the Institute
for Systems Biology
in the year 2000.
And it has focused, indeed,
on developing systems science,
and the allied technologies
and analytic tools
that were necessary for it.
And very early on
in this endeavor, we
started applying systems
biology to disease.
And from that emerged the
discipline of systems medicine,
and ultimately,
proactive P4 medicine,
and I'll talk in some detail
about what each of those
are subsequently.
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