These are the upcoming life science trends we can expect to see more in 2019. While healthcare research in immunomodulation and gene therapy is relevant; data-sharing, purpose-driven analytics and AI is gaining more popularity within the industry. With these technological aspects in place, the research community hopes to drive for more discoveries and medical breakthroughs.

1. Upcoming Life Science
Trends IN 2019
From Gene Therapy to Artificial Intelligence
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2. LIFE SCIENCE & TECHNOLOGY
The field of life sciences presents
many opportunities and is
constantly growing due to
advances in computing and
materials.
Science and technology is a
crucial combination for us to
address the pressing global
problems in healthcare and
beyond.
Source: Booz Allen Life Sciences and Clinical Technology – Seven Trends for 2019
Advances in
Computing &
Materials are
fueling scientific
breakthroughs.

3. Rapid computation of large
amounts of data allows
researchers to visualize single
molecules within cells in real
time.
Combining today’s data analytics
and artificial intelligence (AI), life
scientists are able to visualize
interactions between novel
therapeutics and their targets.
LEVERAGING Data Analytics & ai
Source: Booz Allen Life Sciences and Clinical Technology – Seven Trends for 2019
Today’s computers
and equipment
allows for real-time
visualization.

4. KEY Trends in 2019
Alter
Immune
Response
Gene
Therapy
Neuro-
Feedback
Artificial
Intelligence
Data
Sharing
Tele-Health
Cyber Bio
Security
Source: Booz Allen Life Sciences and Clinical Technology – Seven Trends for 2019

5. Source: https://www.encyclopedia.com/science/encyclopedias-almanacs-transcripts-and-maps/immunomodulation
Using genetic tools such as
CRISPR, researchers are working
to tweak the various functions of
the human body to ‘repair’ itself.
There are ongoing clinical trials on
patients to self-repair various
conditions including cancer, HIV/
AIDs, nerve repair, and even
muscle diseases – several of these
therapies are already cleared by
the Food and Drug Administration
(FDA).
GENE & IMMUNOMODULATION THERAPY
Immunomodulation refers
to any process in which an
immune response is altered
to a desired level.

6. Neuro-Feedback IN PATIENT TREATMENT
Researchers are actively investigating
the use of neurofeedback in treating
patients with varying neurological and
psychological conditions.
• Psychological disorders such as
depression and anxiety,
• Motor disorders such as Parkinson’s
disease and stroke,
• Pain resulting from damage of the
central nervous system.
This type of therapy is most valuable
where an effective long-term solution
for treating chronic pain is not available.
Source: Reuters, 2018, www.reuters.com/brandfeatures/venture-capital/article?id=38596
In 2017, the
market for
neuro-
feedback was
at $37 million
By 2025,
expected to
reach $57
million

7. HEALTH DATA SHARING
Patient’s healthcare record is often
siloed as such data often doesn’t
leave a hospital or office.
Advancement of health analytics
can only be fulfilled through the
concept of open data.
These ‘data-banks’ of patient
healthcare records can be
regulated through taxpayer-funded
programs for query and research.
Open data
banks
would
advance
healthcare
research.
Doctors often
track a patient’s
health through
data analytics.
Source: Booz Allen Life Sciences and Clinical Technology – Seven Trends for 2019

8. Source: LunaDNA
The general population can opt
to share their health and DNA
data onto secure research
platforms, in return for benefits
or ‘shares’.
Continuous contributions of new
health and lifestyle data will
help researchers discover
correlations between DNA,
conditions, medications, and
outcomes.
Share-Data & Drive Discovery
Data-sharing
drives discovery,
and allows for
breakthroughs.

9. Source: Booz Allen Life Sciences and Clinical Technology – Seven Trends for 2019
There is a need to address the
increasing volume of data. The
biggest challenge is to clean,
trim and filter data that is
actually usable before analytics
can even begin.
Data analytics that is purpose-
driven ensures that critical
information is both available
and actionable to various
healthcare talents (physicians,
surgeons, nurses, etc.).
PURPOSE-DRIVEN DATA ANALYTICS
Data management
takes up 80% of the
work prior to actual
analytics.

10. Advanced Genomics & Sequencing
Genomics is an industry at the
intersection of biology and
technology. Researchers can soon
read and understand genetic
variations associated with health,
disease, and drug response.
For example:
• What causes a cancer cell to mutate?
• What is the origin of a complex disease?
• How do we modify crops for sustainable
food production?
Source: Illumina & Congenica
Gene
Panels
Exomes
Genomes
Generate pedigrees to
describe child/father/mother
relationships
Identify variants and indels
Create virtual gene panels
Speed up clinical
interpretations
Genome browser

11. Applying Artificial Intelligence
Effective data-sharing and
analytics is almost impossible
without artificial intelligence (AI)
or predictive analytics, especially
in the healthcare sector.
By unlocking clinically relevant
information hidden in the massive
amounts of data, AI can assist
physicians to make better clinical
decisions.
Source: https://svn.bmj.com/content/2/4/230
Top 3 Literatures in
AI for Healthcare:
Diagnostic
Imaging, Genetic
Testing and
Electrodiagnosis.

12. TeleHealth & LIFE Sciences
In recent years, telehealth is
enabling seamless integration
between healthcare providers,
medical facilities, and the patients
they serve.
Telehealth will rapidly accelerate
advancement across various life
sciences. Novel innovations can be
disseminated and implemented
rapidly in areas of clinical study,
laboratory bench research, and
population health.
Source: https://www.who.int/sustainable-development/health-sector/strategies/telehealth/en/
The market value for telehealth will
increase from $14b in 2013 to $36b in
2020.

13. CYBER-BIO-Security
Medical and life science
organizations have to combat cyber-
security threats and protect the
growing volume of data: Electronic
health records, genomic research
databases, etc. will be accessible
through devices that are always
connected to the internet.
Life sciences industry must continue
to raise awareness of these issues,
assess gaps in security throughout the
entire system, and develop measures
mapped to cyber best practices.
Source: https://academic.oup.com/jamiaopen/article/1/1/15/5035928
There were 1,512
incidents affecting
154 415 257 patient
records
Study
conducted on
data breaches
in the US from
2013-2017
(5 year period)

14. CONCLUSION
• While scientific research such as gene & immunomodulation
therapy, and neuro-feedback remains relevant; data-sharing,
analytics, and AI are gaining more attention from the
healthcare industry.
• Data-sharing allows for more precise and conclusive
interpretation based on large sample volumes. This in turns
drives research discovery & medical breakthroughs.
• Through purpose-driven analytics, relevant and actionable
information is made available for patient-specific issues.
• Implementation of AI would assist in faster decision making
among healthcare providers.

15. By xeraya capital
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