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effective analysis of biomedical BIG DATA
the optimization of drugs for rare and
neurodegenerative diseases, and cancer
FINISTERRAE
FINISTERRAE
Big Data for the
optimization of drugs for
rare and neurodegenerative
diseases, and Cancer.
“This generation has a historic opportunity
and responsibility to transform medicine by
using systematic approaches in the
biological sciences to dramatically
accelerate the understanding and
treatment of disease”
The Eli and Edythe L. Broad Institute
Of MIT and Harvard
FINISTERRAE
means “the end of the
world”. In our case, it is
referred to genomic and
biomedical BIG DATA
principles with
translational means. Our
goal is to make big data
smaller, completely
reducing its complex
nature.
... making it easier
to find new
therapeutic targets
and orphan drugs
for RARE DISEASES.
...and also in
neurodegenerative
diseases
(Parkinson,
Alzheimer, ALS,...)
and Cancer.
What’s more, we want to
make early diagnosis of
various types of CANCER
more accurate, as well as
make the optimization of
personalized treatment
possible (precision
translational medicine)
Also, the
FINISTERRAE
platform will
contribute to the
OPTIMIZATION OF
MEDICAL DECISIONS
and the providing
additional value to
hospital data.
Regarding drug optimization, SECONDARY EFFECTS
MINIMIZATION would be very interesting so that patients do
not have to go through unnecessary suffering.
LET’S TALK
NUMBERS
7000: number of RARE
DISEASES that affect over
30 million people in the
USA and some more in
Europe. Over the past
few years, small
pharmaceutical
companies have
launched various dozens
of drugs.
NEURODEGENERATIVE
DISEASES are one of the
biggest issues of today’s
society. By itself,
Alzheimer affects more
than 7 million Europeans,
and it is thought that this
number will be
duplicated in less than
20 years.
Despite all the billions
of dollars invested in
CANCER investigation,
the obtained results for
preventing it and for
carrying out advanced
treatments are highly
disappointing.
Only 500 out of 10.000
drugs found in
investigation period
pass on to preclinical
period, and from there
only 1 of them goes on
to clinical use.
www.acrohealth.org
BREAST
CANCER
MAMMAPRINT
ONCOTYPE
MAMMOSTRAT are
really expensive,
although trustworthy
tests
possible metastasis
prediction during
diagnosis
The goal is to come up with
simple, solid, trustworthy and
non-expensive methods to
ameliorate diagnosis and
Breast Cancer treatment,
significantly reducing
mortality.
And this
methodology
can also be
applied to
other types of
CANCER:
COLORECTAL,
LUNG,
PROSTATE,
PANCREAS…
We model biomedical data
and we obtain information
that would be impossible to
find using traditional
methods. We are opened for
proofs of concepts to show
our capabilities.
We work using a win-win
methodology.
S O M E F I NIST E R R A E’S
R E F E R E N C E S
S O M E F I NIST E R R A E’S
R E S U LT S
CORRELATION NETWORK for
CHRONIC LYMPHOCITIC LEUKEMIA (CLL)
Main Mutations in
CLL and how they
impact expression
CORRELATION NETWORK for MYOSITIS
CORRELATION NETWORK for ALS
• We have found very innovative
results about the disease
mechanisms in Alzheimer,
Parkinson, ALS and Multiple
Sclerosis, for instance.
• We are modelling different rare
diseases that have genetic data
available in public data
repositories.
• We are able to fusion different
kind of data for Treatment
Optimization.
Ignacio Fdez.-Alberti
IIRR and Corporate
Communications
Juan Luis Fdez.-
Martínez
Professor in Applied
Mathematics.
CTO.
Zulima Fernández-
Muñiz
PhD in Applied
Mathematics.
Ana Cernea-Cobernau
PhD in Applied
Mathematics.
Enrique J. De Andrés
Galiana
PhD in Applied
Mathematics.
The TEAM
Juan Luis Fernández Martínez
Inverse Problems Group
jlfm@uniovi.es
+34 682202198
Ignacio Fdez. Alberti
Salud Social Media
ignacioalberti@saludsocialmedia.com
CONTACT TO
DISCOVER NEW
OPPORTUNITIES

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Effective analysis of biomedical big data for the optimization of drugs for rare and neurodegenerative diseases, and cancer

  • 1. effective analysis of biomedical BIG DATA the optimization of drugs for rare and neurodegenerative diseases, and cancer
  • 3. FINISTERRAE Big Data for the optimization of drugs for rare and neurodegenerative diseases, and Cancer. “This generation has a historic opportunity and responsibility to transform medicine by using systematic approaches in the biological sciences to dramatically accelerate the understanding and treatment of disease” The Eli and Edythe L. Broad Institute Of MIT and Harvard
  • 4. FINISTERRAE means “the end of the world”. In our case, it is referred to genomic and biomedical BIG DATA principles with translational means. Our goal is to make big data smaller, completely reducing its complex nature.
  • 5. ... making it easier to find new therapeutic targets and orphan drugs for RARE DISEASES.
  • 7. What’s more, we want to make early diagnosis of various types of CANCER more accurate, as well as make the optimization of personalized treatment possible (precision translational medicine)
  • 8. Also, the FINISTERRAE platform will contribute to the OPTIMIZATION OF MEDICAL DECISIONS and the providing additional value to hospital data.
  • 9. Regarding drug optimization, SECONDARY EFFECTS MINIMIZATION would be very interesting so that patients do not have to go through unnecessary suffering.
  • 11. 7000: number of RARE DISEASES that affect over 30 million people in the USA and some more in Europe. Over the past few years, small pharmaceutical companies have launched various dozens of drugs.
  • 12. NEURODEGENERATIVE DISEASES are one of the biggest issues of today’s society. By itself, Alzheimer affects more than 7 million Europeans, and it is thought that this number will be duplicated in less than 20 years.
  • 13. Despite all the billions of dollars invested in CANCER investigation, the obtained results for preventing it and for carrying out advanced treatments are highly disappointing.
  • 14. Only 500 out of 10.000 drugs found in investigation period pass on to preclinical period, and from there only 1 of them goes on to clinical use. www.acrohealth.org
  • 16. MAMMAPRINT ONCOTYPE MAMMOSTRAT are really expensive, although trustworthy tests possible metastasis prediction during diagnosis
  • 17. The goal is to come up with simple, solid, trustworthy and non-expensive methods to ameliorate diagnosis and Breast Cancer treatment, significantly reducing mortality.
  • 18. And this methodology can also be applied to other types of CANCER: COLORECTAL, LUNG, PROSTATE, PANCREAS…
  • 19.
  • 20.
  • 21.
  • 22. We model biomedical data and we obtain information that would be impossible to find using traditional methods. We are opened for proofs of concepts to show our capabilities. We work using a win-win methodology.
  • 23. S O M E F I NIST E R R A E’S R E F E R E N C E S
  • 24.
  • 25.
  • 26.
  • 27.
  • 28. S O M E F I NIST E R R A E’S R E S U LT S
  • 29. CORRELATION NETWORK for CHRONIC LYMPHOCITIC LEUKEMIA (CLL)
  • 30. Main Mutations in CLL and how they impact expression
  • 33. • We have found very innovative results about the disease mechanisms in Alzheimer, Parkinson, ALS and Multiple Sclerosis, for instance. • We are modelling different rare diseases that have genetic data available in public data repositories. • We are able to fusion different kind of data for Treatment Optimization.
  • 34. Ignacio Fdez.-Alberti IIRR and Corporate Communications Juan Luis Fdez.- Martínez Professor in Applied Mathematics. CTO. Zulima Fernández- Muñiz PhD in Applied Mathematics. Ana Cernea-Cobernau PhD in Applied Mathematics. Enrique J. De Andrés Galiana PhD in Applied Mathematics. The TEAM
  • 35. Juan Luis Fernández Martínez Inverse Problems Group jlfm@uniovi.es +34 682202198 Ignacio Fdez. Alberti Salud Social Media ignacioalberti@saludsocialmedia.com CONTACT TO DISCOVER NEW OPPORTUNITIES