As a consulting company at the intersection of science, data, and technology, my colleagues
and I at BioTeam are in and out of dozens of organizations—academia, industry, and …

Highlights•Important phases to execute in BioTech Big Data projects to prepare data for
AI/ML work.•Brief description and advice on the two main types of data structures to use in …

The motivation (and personal ex-ante assumption) for this chapter comes from our combined
20 years' experience of research, consulting, operational positions, and ownership of more …

BE46 about their own work at scientific meetings or what might be of interest in other
people's presentations. A company's management can clarify these definitions, and provide …

Artificial intelligence (AI), specifically machine learning (ML) models that make biological or
clinical predictions, may indeed be transformative within the realms of drug and biologic …

It is startling to think that over the past ten years Amgen's (Thousand Oaks, CA) market value
has increased nearly tenfold and Genentech's (S. San Francisco, CA), nearly 20-fold. Today …

We review two books that provide perspective on leadership challenges and best practices
for building successful companies. Lessons and frameworks are extracted from our reviews …

Biotechnology is not an easy topic for information gathering. As noted in Chapter 1, the
subject is elusive and wide ranging. It can be daunting, if not overwhelming, to the librarian …

While the life sciences industry is still coming to terms with the consequences of the Human
Genome Project, the market place is forcing businesses to streamline, re-focus and even …

Artificial intelligence (AI) has achieved human-level capabilities and continues to rapidly
improve. For the pharmaceutical industry, AI can improve decision-making and transform the …