Artificial intelligence (AI)

#Artificial intelligence (AI) #Drug discovery #Fundraising #Isomorphic Labs

Isomorphic Labs raises $600m to support AI drug design

Isomorphic Labs has raised $600 million towards its ambition to leverage AI to reimagine and accelerate drug discovery.   The financing round was led by Thrive Capital, with participation from GV, and follow-on capital from existing investor Alphabet.  Isomorphic Labs aims to apply its AI drug… Read More

#Business & Investment #News

#AI / data analytics / healthtech / informatics #Artificial intelligence (AI) #Data management #Pistoia Alliance #Survey

Resistance to change still greatest barrier to AI drug discovery

Resistance to change has emerged as the biggest barrier (51%) to data innovation in the pharmaceutical industry, while lack of skills is the second most cited barrier (17%).  The new findings on data-driven innovation and AI in life sciences were released by the Pistoia Alliance in conjunction… Read More

#Editor's Choice #News

#Artificial intelligence (AI) #DDW Turning Science into Business Summit #Drug discovery #Events #Machine learning

‘Turning Science into Business’ AI & ML summit: Navigating AI-driven drug discovery

Watch the DDW ‘Turning Science into Business’ AI & ML summit: Navigating AI-driven drug discovery, to learn about the areas of opportunity for AI & ML in the drug discovery sector. The DDW ‘Turning Science into Business’ AI & ML summit sees experts and thought leaders in AI describe the… Read More

Webinar date:
Sponsored by The Jackson Laboratory
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Robot holds up a pill
#Artificial intelligence (AI) #Autoimmune disease #Charles River #Lupus #Valo Health

AI identifies new product candidate for lupus

Charles River Laboratories and Valo Health have announced the identification of an advanceable product candidate for the treatment of different forms of lupus and other autoimmune indications.   The discovery was the first using Logica, an artificial intelligence (AI)-powered drug development solution that translates biological insights into optimised… Read More

#News

Drug discovery
#Artificial intelligence (AI) #Biotech #Cell analysis #Drug discovery #Flow Cytometry

The future direction and applications of flow cytometry

Miguel Tam, Director of Strategic Marketing at Revvity’s BioLegend, explores the future directions and applications of flow cytometry in drug discovery, highlighting the opportunities it presents and the challenges that lie ahead  Flow cytometry has long been a cornerstone in biomedical research and clinical diagnostics, offering unparalleled… Read More

#Exclusive Content

#Artificial intelligence (AI) #Automation / robotics

Webinar: Enable AI-ready data with data automation – with Benchling – 25.03.2025

The adoption of AI/ML in life science R&D is hindered by the lack of high-quality, well-structured data and metadata, a challenge exacerbated by a proliferation of proprietary instrument data formats, siloed lab software applications, and the absence of wet lab-friendly data automation platforms. While some workflow-specific solutions exist, they are… Read More

#Webinars

#Artificial intelligence (AI) #Clinical trial design #Clinical trials #European Medicines Agency #Liver disease

EMA qualifies first AI tool to diagnose liver disease in trials

The European Medicine Agency’s (EMA’s) human medicines committee (CHMP) has issued the first Qualification Opinion (QO) on a development methodology based on artificial intelligence (AI).   The tool, called AIM-NASH, helps pathologists analyse liver biopsy scans to identify the severity of MASH (metabolic dysfunction associated steatohepatitis; formerly known… Read More

#News

#AI / data analytics / healthtech / informatics #Artificial intelligence (AI) #Data science #Electronic Lab Notebooks (ELN) #Lab analytics #Lab of the future #Machine learning

New podcast on tools that support drug discovery and development

This is the latest episode of the free DDW narrated podcast, titled “Critical tools that support drug discovery and development”, which covers two articles written for DDW Volume 24 – Issue 3, Summer 2023. They are called: “You think you need an ELN… but are you asking the… Read More

#News

#Artificial intelligence (AI) #Data automation #Drug discovery #Laboratory data #Webinar

Webinar: The key to a successful AI data automation strategy

The adoption of AI/ML in life science R&D is hindered by the lack of high-quality, well-structured data and metadata, a challenge exacerbated by a proliferation of proprietary instrument data formats, siloed lab software applications, and the absence of wet lab-friendly data automation platforms. While some workflow-specific solutions exist, they are… Read More

Webinar date:
Supported by Benchling
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Fibrosis lungs
#Artificial intelligence (AI) #Deep learning #Idiopathic pulmonary fibrosis #Partnership #Phase I trial #Qureight #Remedy Cell

Deep learning provides enhanced imaging analysis in IPF trial

Qureight and biopharmaceutical company Remedy Cell have agreed a partnership to validate RC-0315’s mechanism of action in idiopathic pulmonary fibrosis (IPF).  The primary objective of the RC-0315 Phase Ib clinical study is to measure drug safety and tolerability.   The study’s exploratory objectives will assess the… Read More

#News

AI and genomics
#Artificial intelligence (AI) #Drug discovery #Generative AI

New generative AI tool halves research time, data​ suggests

​​Elsevier has launched ScienceDirect AI, a generative AI tool for researchers. It is designed to transform the way researchers work by enabling them to instantly extract, summarise and compare trusted insights from millions of full-text articles and book chapters on ScienceDirect, a platform for peer-reviewed research. Researchers engage with a… Read More

#News

#Artificial intelligence (AI) #Data automation #Drug discovery #Laboratory data #Webinar

Webinar: Implement a successful data automation strategy

The adoption of AI/ML in life science R&D is hindered by the lack of high-quality, well-structured data and metadata, a challenge exacerbated by a proliferation of proprietary instrument data formats, siloed lab software applications, and the absence of wet lab-friendly data automation platforms. While some workflow-specific solutions exist, they are… Read More

Webinar date:
Supported by Benchling
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#Artificial intelligence (AI) #Drug discovery #Molecular research #Ozempic #Stanford University #Weight loss

AI-enabled molecule discovery rivals Ozempic in weight loss

A naturally occurring molecule identified by Stanford Medicine researchers appears similar to semaglutide — also known as Ozempic — in suppressing appetite and reducing body weight. Notably, testing in animals also showed that it worked without some of Ozempic’s side effects such as nausea, constipation and significant loss of muscle… Read More

#News

Robot for drug discovery
#Artificial intelligence (AI) #Automation / robotics #Drug discovery #Insilico Medicine #Lab automation #Lab technology

First bipedal humanoid AI scientist joins drug discovery lab

Insilico Medicine has deployed the first bipedal humanoid in its AI-powered fully-robotic drug discovery laboratory.   The humanoid, called ‘Supervisor’, will be used for data acquisition and data generation for training of the embodied AI systems to learn the skills of human laboratory scientists.   The work… Read More

#News #Trending News

#Artificial intelligence (AI) #Data management #Drug development #Drug discovery #eBook

New eBook: Three ways to solve scientific FOMO

A new eBook is now available to download entitled ‘Three Ways to Solve Scientific FOMO: Advice for Navigating Early Discovery‘, from CCC / RightsDirect. The authors explore key functions that empower researchers to overcome the challenges of siloed data, including: Leveraging ontologies Utilising search alerts Effectively employing AI… Read More

#News

#Artificial intelligence (AI) #Data management #Drug development #Drug discovery

Unifying Data Sources: A Guide for Efficient, Comprehensive Research

In ‘Three Ways to Solve Scientific FOMO: Advice for Navigating Early Discovery’, we explore key functions that empower researchers to overcome the challenges of siloed data, including: Leveraging ontologies Utilising search alerts Effectively employing AI Read our ebook to learn how you can accelerate your breakthroughs in drug discovery. Read More

#Resources