How BenchSci Works Differently than Google Scholar for Antibody Search
Describes how Google Scholar and BenchSci differ for antibody search, including BenchSci’s data sources, AI, aliases, searching, filtering, and user interface.
Antibody Search on BenchSci Vs Google Scholar: What’s the Difference?
Describes differences between an antibody search on BenchSci and Google Scholar. Shows how BenchSci is faster, more relevant, and more comprehensive.
Three Common Myths about Artificial Intelligence in Drug Discovery
Addresses three common myths about artificial intelligence in drug discovery: it’s easy to build, it does all the work for you, and it’s inaccurate.
The Implication of This Simple Phrase in Reproducible Research
“As described previously”. Sounds familiar? This phrase means more than just flipping through another paper. It makes achieving reproducible research harder.
The “Watson” Era of Machine Learning in Drug Discovery is Over—Now We’re in the Long Tail
How pharmaceutical and biotechnology companies are increasingly applying machine learning in drug discovery for specific versus general problems.
What AlphaGo Zero Means for Artificial Intelligence Drug Discovery
Discusses the implications of AlphaGo Zero for biomedical research and artificial intelligence drug discovery.
A 10-Step “Protocol” for Antibody Search
Looking for antibodies? These 10 steps could guide your next antibody search.
Entrepreneurship as an Alternative Career for PhDs in Life Sciences: Part 2
Continuing from Part-1, read about the things I’ve learned and my tips to explore start-ups as an alternative career for PhDs in life sciences.
Entrepreneurship as an Alternative Career for PhDs in Life Sciences: Part 1
Read about our journey going from the bench to business and explore start-ups as an alternative career for PhDs in life sciences.