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The PanHunter Platform
" Data is critical to unlocking the promise of
precision health and personalized medicine. "
Amy P. Abernethy, MD, PhD,
president, Clinical Studies Platforms, Verily Life Sciences
son's, Alzheimer's, and more are not only incredibly
heterogeneous diseases that affect many, but are
also costly with generally poor outcomes. These
diseases currently are measured subjectively, leaving
a need for precision care solutions that look at them
objectively. "
" To improve outcomes, we need to improve
disease management, which is powered by improved
objective measurement, " Hagstrom notes. " That
requires an overhaul of the methods by which we
measure the biology of MS and how it manifests
itself in a particular patient's symptoms. "
Octave is currently focusing on MS, but the
company plans to address the full spectrum of
neurodegenerative diseases. To do so, the company
intends to leverage its multidimensional approach.
" We have a finely choreographed and integrated
model, " Hagstrom explains. " Our comprehensive
solution includes a first-of-its-kind multivariate
biomarker blood test; enhanced MRI analytics;
imaging insights and protocols; and a clinical
program [in which] wearables and mobile tools
[enhance monitoring]. Together, these create an
unparalleled, longitudinal view of a patient's disease
to support patient and physician clinical decisions. "
" This model for precise care for MS holds great
promise, " Hagstrom continues. " The platform we are
constructing will be applicable to other neurodegenerative
diseases, and we anticipate seeing more and
more cases for our multidimensional model, which
employs cutting-edge science and technologies
combined with data analytics to serve individual
patients and entire populations. "
EMBRACING A DATA-DRIVEN FUTURE
" Data is critical to unlocking the promise of precision
health and personalized medicine, " declares Amy
P. Abernethy, MD, PhD, president, Clinical Studies
Platforms, Verily Life Sciences. She adds that if data
is to play its key role, it will have to be comprehensive
and provide a 360-degree view of health.
In other words, many kinds of data are needed.
They include prospectively collected data (such as
data from clinical trials), passively collected data
(such as data from electronic health records), and
other data sets (such as genomic, microbiomic,
and other biologic data). " A comprehensive view, "
Abernethy continues, " also includes data from social
determinants of health, environmental exposures,
and concerns for quality of life. "
10
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evotec_Nov23_PanOmicsDriven

Table of Contents for the Digital Edition of evotec_Nov23_PanOmicsDriven

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