Efficient data integration is the key to effective AI/ML
AI/ML technologies can be notoriously data-hungry with the broader concern being that certain...
BioStrand Omics Analysis Blog
Our omics analysis blog brings insights into genetics and genomics research solutions, and their leading role in the development of this industry.
Attention Mechanisms, Transformers and NLP
Natural Language Processing is a multidisciplinary field and over the years several models and...
Data related challenges in NLP
NLP challenges can be classified into two broad categories. The first category is linguistic and...
The BioStrand Interviews: Meet Thijs van Ulden
Thijs is a man of many parts. As a self-taught technology professional, he has worked with more...
Knowledge Graphs & The Power Of Context
Data overload is becoming a real challenge for businesses of all stripes even as a majority...
AI, ML, DL, and NLP: An Overview
Today artificial intelligence (AI), machine learning (ML), deep learning (DL) and natural language...
Why Is NLP Challenging?
A 2021 Natural Language Processing (NLP) industry survey found a significant year-on-year increase...
AI in drug development - towards fully autonomous drug discovery
In our previous blog, we noted how the increasing utilization of AI across different phases of the...
The BioStrand Interviews: Meet Christophe Van Neste
Bioengineer, philosopher, programmer, bioinformatician and teacher, Christophe Van Neste is a truly...
AI in drug development - from hype to reality
Back in 1981, a Discovery magazine article called Designing Drugs With Computers detailed a...
The importance of NLP in biomedical research
There will be more than twice as much digital data created over the next five years as has been...