Explained: A brief look into AlphaFold 2
The year 2021 has been a wild ride for structural biologists, with the advent of AlphaFold2,...
BioStrand Omics Analysis Blog:
NLP
AI, NLP and the ROI of drug development
The out-of-pocket R&D costs of developing a single drug, whether successfully launched or not, are...
Accelerating pharma R&D and innovation through technology partnerships
Biopharmas are increasingly turning to alliances & partnerships to drive external innovation....
Computational Antibody Design: The Future Of Antibody Discovery
In 2021, the FDA approved the 100th monoclonal antibody product, marking a significant milestone...
Improving Drug Safety with Adverse Event Detection Using NLP
It is estimated that Adverse Events (AEs) are likely one of the 10 leading causes of death and...
A Hybrid Approach to NLP in Drug Discovery
Artificial Intelligence-powered technologies like NLP are becoming critical to the pharmaceutical...
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...
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...
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...