7
Nov
2022
Tag: pharmaceuticals
24
Oct
2022
Bionest
A New Advance in the Treatment of Major Depressive Disorder
Could the FDA approval of Auvelity usher in a new class of antidepressants? The new oral treatment for depression works with the glutamate receptor NMDA.
25
Apr
2022
Bionest
Biosimilars on the Rise, Spurring Company Integration and Consolidation
From one to 34: Biosimilars are on the rise. How will it affect the pharmaceutical market for companies and consumers?
28
Mar
2022
Bionest
ASH 2021 Update: Part 2
A look at new hematology therapy developments for hemophilia, beta thalassemia and sickle cell disease presented at ASH 2021.
14
Mar
2022
Bionest
ASH 2021 Update: Part One
Are anti-CD38 antibodies & CAR-T treatments living up to their promise for multiple myeloma patients? We examine clinical trial results shared at ASH2021
28
Feb
2022
Bionest
Trends to Watch in 2022 after the 40th Annual JPM Conference
Fewer blockbuster M&A announcements, more early-stage partnerships & acquisitions. We examine trends for 2022 that emerged at JPM
31
Jan
2022
Bionest
What’s Next for mRNA?
Beyond COVID and cancer: In which indications will we see mRNA technology succeed next? And what technological advances might next-generation mRNA platforms offer over those used in the COVID-19 vaccines?
15
Apr
2019
Bionest
Bifunctional Antibodies: The Next Generation of Immuno-oncology Agents
Immuno-oncology agents, particularly checkpoint inhibitors, have moved to the forefront of cancer research and treatment in recent years. Indeed, the discovery that cancer could be treated by activating the immune system was honored with a Nobel Prize in 2018. But, as revolutionary as immuno-oncology drugs have been for the cancer field, many patients still do...
11
Mar
2019
Bionest
Machine Learning and Drug R&D
We recently wrote about the growing use of machine learning and artificial intelligence (AI) in healthcare. That blog post talked primarily about the expanding applications of AI in clinical diagnostics, based on AI’s superior abilities in pattern recognition. Within the pharmaceutical industry, however, machine learning technologies hold the most potential for revolutionizing drug discovery and...
21
Jan
2019