The topic of AI in drug discovery and development may continue to garner significant attention, but harnessing AI effectively requires a nuanced strategy, and an ability to navigate between details and the bigger picture. Andrew Anderson, vice president of innovation and informatics strategy at ACD/Labs, likens it to boiling water. “On a small scale, it’s…
The balancing act of biotherapy: Be The Match BioTherapies’ Abby Waters on agility and beyond
Professionals in the biotherapy world are engaged in a sort of balancing act, juggling the nuances of product development, complex science, leadership dynamics, and patient-centricity. In a recent interview, Abby Waters, Ph.D., senior manager of solution owners at Be The Match BioTherapies, opens up about her decade-long journey navigating these multifaceted challenges. From embracing agile…
AI in antibody drug discovery as a tool, not a magic wand
AI in drug discovery is a topic that gets an outsized amount of attention, observes Carl Hansen, CEO of AbCellera, a company specializing in antibody drug discovery. “It’s as if people are saying, ‘AI is here, it’s going to save us. Thank God, we’re finally gonna be able to create drugs,” he said. “To me,…
How data-savvy are you in drug discovery?
Hey there, drug discovery professionals: Ever wondered where you stand in the grand scheme of drug discovery data-savviness? We’ve created a short quiz to help you get an idea. Drug discovery and development is an increasingly data-intensive field, underscoring the need for data science to be a core drug discovery discipline. The industry has taken…
Cellares teams up with Bristol Myers Squibb to explore automated CAR-T cell therapy manufacturing
Less than a week after announcing that it has secured $255 million in Series C funding, South San Francisco-based startup Cellares has revealed that Bristol Myers Squibb has joined its Technology Adoption Partnership (TAP) program. To date, the company has raised more than $355 million in total financing. As part of the TAP program, Bristol…
30 promising biotech startups: Scatter plot
The preceding visual representation of the biotech startups of 2023 are grouped — clustered — according to their focus areas. Each cluster color corresponds to a specific domain: Orange for advanced molecular techniques (Cluster 0). Blue for cell and gene therapies (Cluster 1). Green for AI-driven drug discovery (Cluster 2). Red for epigenetics and genomic…
Interactive snapshot: 30 promising biotech startups
2023 is shaping up to be a pivotal year for promising biotech startups. While the sector faced multiple waves of layoffs, a silver lining is evident: the growing maturity of AI and genomics technologies is fueling a new wave of startup advances, especially in drug development. Amidst the backdrop of that turbulence, a select group…
Nvidia exec: Generative AI can turn every biologist into a computer scientist — and vice versa
On a recent visit to Nvidia’s headquarters in Santa Clara, I had the chance to speak with Kimberly Powell, the company’s vice president and general manager of healthcare. After asking about the pharma industry’s surging interest in AI, Powell remarked, “Every pharma knows who Nvidia is now.” Curious, I asked her, “How long has that…
How synthetic data accelerates oncology research and drug development
Synthetic data in oncology is transforming how researchers and developers approach real-world evidence. They often need this evidence to test hypotheses, predict outcomes and develop algorithms. But privacy constraints and access related to patient data can create delays and lengthen project timelines. Oncology drug researchers and developers have recently begun using synthetic data in oncology…
A checklist for unlocking the promise of AI in clinical trials
AI algorithms offer a myriad of advantages for clinical trials. AI techniques can, for instance, support patient enrollment and site selection, improve data quality and enhance patient outcomes. AI algorithms — combined with an effective digital infrastructure — can also help aggregate and manage clinical trial data in real time, as Deloitte has noted. Last…
A year in review: AI’s evolving role in drug discovery and development in 2023
In the realm of drug discovery, AI is making waves, and 2023 could potentially be a pivotal year for this technology. As the technology enters the popular consciousness, pharma employees are wondering “why they can’t have similar AI-driven tools for their professional tasks,” said Diane Wuest, head of digital R&D at Sanofi, in a recent…
New AI tool InClinico predicts clinical trial outcomes with 79% accuracy: A closer look with InSilico CEO, Alex Zhavoronkov
Roughly nine out of ten clinical trials fail as a result of factors such as lack of efficacy and unmanageable toxicity, as the journal Pharma Excipients has noted. After seven years of development, Insilico Medicine has scored a breakthrough with its generative AI tool, inClinico. In particular, the tool demonstrated 79% accuracy in predicting the…
Balancing on a tightrope, pharma’s generative AI journey straddles fear and FOMO
Pharma and biotech companies have had a spectrum of responses to the surge in generative artificial intelligence (AI). A recent Washington Post article describes an unnamed biotech firm that banned employees from using OpenAI’s ChatGPT despite its capability to bolster productivity given concerns over potential data leaks. At the same time, the burgeoning AI landscape…
Eversana partners with AWS to accelerate generative AI in pharma
Life sciences commercial services company Eversana is one of the latest to throw its hat into the generative AI ring. Tapping a partnership with Amazon Web Services (AWS), Everasana is focusing on developing generative AI technologies in the pharmaceutical industry. Also this month, the startup Synthetica Bio announced it would use generative AI to boost…
In data we trust: AI’s growing influence on drug development
The journey to developing a successful drug, theoretically, may appear linear: you discover the right drug, find the suitable patient and administer it at the right time. The reality, however, often deviates from this straightforward path. Aligning these three variables remains notoriously difficult, often leading to elongated timelines strewn with failures, sometimes extending over a…
Visualizing automation’s influence on drug discovery careers
Today, the pharma sector, like many others, appears to be on the cusp of a transformation thanks to the influence of automation on drug discovery careers. Companies ranging from Insilico Medicine to Big Pharma firms like Janssen and Sanofi are putting AI at the heart of their operations. Many are increasingly recruiting workers from the…
Synthetica Bio lates to tap generative AI to spur drug discovery innovation
Interest in generative AI has skyrocketed in 2023. While the generative AI market is already substantial, worth $10 billion in 2022 according to Grand View Research, it is set to balloon by a compound annual growth rate (CAGR) of 35.6% from 2023 to 2030. It’s no wonder that a slew of companies — including Exscientia,…
Sanofi puts AI ‘Plai’ app at the center of drug discovery and clinical trial operations
The French pharmaceutical giant Sanofi has unveiled a new AI-powered app called Plai, developed in partnership with AI platform Aily Labs. This move is part of Sanofi’s plan to become the pioneer in fully integrating AI into all operations, according to CEO Paul Hudson. Plai, designed to compile and process Sanofi’s internal data from various…
QuantHealth taking a data-driven predictive approach to simulate clinical trials
In drug discovery, the process of shooting for regulatory approval can feel less like a sprint and more like a marathon, but with no guarantee of crossing the finish line. Despite the hefty investment of time, effort and resources, the success rate for bringing new drugs to market hasn’t improved in recent decades. The American…
eClinical Solutions Q&A: The quest to transform raw data into drug discovery gold
Top pharmaceutical companies sponsor over a hundred clinical trials annually, generating vast amounts of data. Harnessing this deluge is a monumental task. eClinical Solutions, led by CEO Raj Indupuri, tackles this through advanced applications of data analytics and machine learning with a strong emphasis on AI in clinical trials optimization. Specifically, eClinical Solutions taps AI/ML…
Microsoft details how its technology is advancing drug discovery and biomedical research
As cloud technology matures, life-sciences companies are finding new avenues for business value in life sciences, extending beyond the cost efficiencies typically associated with cloud migrations, as McKinsey noted. In an email statement, Microsoft outlined how its own cloud computing, AI and research capabilities are driving similar innovation for biopharma companies. This article explores Microsoft…
Microsoft goes all in on Azure Quantum to accelerate scientific discovery
In the rapidly evolving landscape of quantum computing, Microsoft is pushing the boundaries with its Azure Quantum platform. As Microsoft CEO Satya Nadella recently announced, “Our goal is to compress the next 250 years of chemistry and material science progress into the next 25,” Nadella said. The executive also noted that, thanks to recent advances…
Take a global tour of 19 major biotech hubs with our interactive map
The international biotech sector clocked in at $1.37 trillion in 2022 despite headwinds such as slow launches, long-term drug pricing shifts and changing consumer behavior. Recent biotech breakthroughs include the development of an Ebola vaccine, progress in genetic testing and drug treatments and advances in artificial tissue growth. This article explores several leading biotech…
Driving pharma lab digitalization forward with LIMS
Digitalization has taken the pharma industry by storm. Most of the laboratories have embarked upon digitalization in the recent years. A central player in this transformative journey is the laboratory information management system (LIMS), a digital platform designed to manage all the data and processes in a lab, from sample tracking to reporting and quality…
Medical imaging AI startup Flywheel wins Series D round backed by NVIDIA, Microsoft and HPE
Minneapolis-based Flywheel has received $54 million in a Series D round backed by NVIDIA, Microsoft, Hewlett Packard Enterprise and other strategic investors. Flywheel will invest the cash to fuel growth in core verticals, the pharmaceutical and public sector healthcare sectors. A notable Big Pharma customer is Genentech. The company also aims to ramp up expansion…