Artificial intelligence (AI)

#Artificial intelligence (AI) #High throughput screening #Transcriptomics #Webinar

Webinar: Building the data layer for AI drug discovery

AI-driven drug discovery depends on large-scale, information-rich biological datasets that capture how compounds perturb cellular systems across diverse conditions. Building these datasets requires scalable approaches that can combine phenotypic and molecular readouts in high-throughput screening workflows. In this webinar, hosted by DDW, Daniel Alpern, Chief Scientific Officer at… Read More

#News

#Artificial intelligence (AI) #High throughput screening #Transcriptomics #Webinar

Building the data layer for Al drug discovery: Cell painting and DRUG-seq in large-scale compound screens

AI-driven drug discovery depends on large-scale, information-rich biological datasets that capture how compounds perturb cellular systems across diverse conditions. Building these datasets requires scalable approaches that can combine phenotypic and molecular readouts in high-throughput screening workflows. In this webinar, hosted by DDW, Daniel Alpern, Chief Scientific Officer at Alithea Genomics,… Read More

Webinar date:
Supported by Alithea Genomics and Revvity
#Webinars

Antibody discovery concept
#Artificial intelligence (AI) #Biologics #Drug discovery #Therapeutic Antibodies #Webinar

Webinar: Modernise and scale your antibody discovery programmes

Antibody discovery is being reshaped by two forces: an explosion of novel formats and the growing role of AI across the DBTL loop. But most teams are still running antibody programs on software that hasn’t kept pace with science, leaving data siloed and relationships missing. In this webinar, hosted by… Read More

Webinar date:
Supported by Benchling
#News

Antibodies
#Artificial intelligence (AI) #Biologics #Drug discovery #Therapeutic Antibodies #Webinar

Webinar: Meet the challenges of a shifting antibody discovery landscape

Antibody discovery is being reshaped by two forces: an explosion of novel formats and the growing role of AI across the DBTL loop. But most teams are still running antibody programs on software that hasn’t kept pace with science, leaving data siloed and relationships missing. In this webinar, hosted by… Read More

Webinar date:
Supported by Benching
#News

Antibodies
#Artificial intelligence (AI) #Biologics #Drug discovery #Therapeutic Antibodies #Webinar

Webinar: Discover a modern data foundation for complex biologics

Antibody discovery is being reshaped by two forces: an explosion of novel formats and the growing role of AI across the DBTL loop. But most teams are still running antibody programs on software that hasn’t kept pace with science, leaving data siloed and relationships missing. In… Read More

Webinar date:
Supported by Benching
#News

Peptides
#Artificial intelligence (AI) #Drug discovery #Peptides #Webinar

Last chance to register: Discover cyclic peptide drug design

Cyclic peptides have a special power in the therapeutic space — they’re larger and more specific than small molecules, and more permeable and cost-effective than antibodies. These qualities enable them to conquer two of the biggest challenges in modern drug development: prosecuting flat intracellular protein-protein interactions (PPIs) and achieving oral… Read More

Webinar date:
Supported by BioDuro
#News

Monoclonal antibody
#Artificial intelligence (AI) #Biologics #Drug discovery #Therapeutic Antibodies #Webinar

Webinar: Discover AI infrastructure for modern antibody discovery

Antibody discovery is being reshaped by two forces: an explosion of novel formats and the growing role of AI across the DBTL loop. But most teams are still running antibody programmes on software that hasn’t kept pace with science, leaving data siloed and relationships missing. In this webinar on 11… Read More

Webinar date:
Supported by Benching
#News

Peptide
#Artificial intelligence (AI) #Drug discovery #Peptides #Webinar

Register now: A deep dive into the cyclic peptide discovery landscape

Cyclic peptides have a special power in the therapeutic space — they’re larger and more specific than small molecules, and more permeable and cost-effective than antibodies. These qualities enable them to conquer two of the biggest challenges in modern drug development: prosecuting flat intracellular protein-protein interactions (PPIs) and achieving oral… Read More

Webinar date:
Supported by BioDuro
#News

Antibody discovery concept
#Artificial intelligence (AI) #Biologics #Drug discovery #Therapeutic Antibodies #Webinar

Introducing Benchling Biologics: AI infrastructure for modern drug discovery

Antibody discovery is being reshaped by two forces: an explosion of novel formats and the growing role of AI across the DBTL loop. But most teams are still running antibody programmes on software that hasn’t kept pace with science, leaving data siloed and relationships missing. In this webinar, hosted by… Read More

Webinar date:
Supported by Benching
#News

Antibody discovery concept
#Artificial intelligence (AI) #Biologics #Drug discovery #Therapeutic Antibodies #Webinar

Introducing Benchling Biologics: AI infrastructure for modern drug discovery

Antibody discovery is being reshaped by two forces: an explosion of novel formats and the growing role of AI across the DBTL loop. But most teams are still running antibody programmes on software that hasn’t kept pace with science, leaving data siloed and relationships missing. In this webinar on 11… Read More

Webinar date:
Supported by Benchling
#Webinars

Artificial intelligence
#Artificial intelligence (AI) #Drug discovery #Peptides #Webinar

Cyclic peptide drug design: From experimental discovery to AI-driven computation

Cyclic peptides have a special power in the therapeutic space — they’re larger and more specific than small molecules, and more permeable and cost-effective than antibodies. These qualities enable them to conquer two of the biggest challenges in modern drug development: prosecuting flat intracellular protein-protein interactions (PPIs) and achieving oral… Read More

Webinar date:
Supported by BioDuro
#News

#Artificial intelligence (AI) #AstraZeneca #Collaboration #Immunai #Oncology

AstraZeneca expands AI oncology collaboration with Immunai

AstraZeneca and Immunai have expanded their collaboration, extending a multi-year collaboration in oncology clinical development through 2027.  Under the new deal, Immunai is eligible to receive up to $37.5 million over 2026-2027. It marks the third expansion of the partnership between the two companies, building on previous… Read More

#Business & Investment #News