Data Science, Machine Learning (ML), and Artificial
Intelligence (AI) have without doubt become hot topics across all
industries, including healthcare. Companies, large and small, are
rushing to stock up on data scientists, but are data scientists alone
enough to build a successful data science practice in healthcare?
Without a doubt, data scientists are needed to build models. Thanks to
the increasing availability of genomics and other biomedical data, many
machine learning approaches have been proposed for a wide range of
therapeutic discovery and development tasks.

In the era of eHealth
and personalized medicine, “big data” and “machine learning” are
increasingly becoming part of the medical world. Algorithms are capable
of supporting diagnostic and therapeutic processes and offer added value
for both healthcare professionals and patients.

Cristian Regep
https://www.linkedin.com/in/cristian-regep-9269ab2b/

The Data Standard
https://datastandard.io/
https://www.linkedin.com/company/the-data-standard/
https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q