Data science

After ChatGPT debuted in late 2022 and GPT-4 hit the scene in March of the following year, many executives at pharma companies sat up and took note, interested in new tech that could accelerate the stubbornly slow drug development process. Translating that vision into reality, however, is not straightforward and a significant number of pharma…

Biopharma’s gradual embrace of the cloud is picking up pace. In 2022, PwC surveyed more than one hundred pharmaceutical and life sciences companies. Forty percent were already running all of their operations in the cloud; another 55% hoped to join them by late this year. The report also found that the most successful companies used…

What’s the difference between a multimodal generative AI system to plan a vacation itinerary versus guiding cancer treatment? For the former, data quality is a definite plus, but for the latter, it’s indispensable. “If I ask ChatGPT to plan a vacation for me and it spits out something, I might sit there and second guess…

While there are currently no FDA-approved AI-discovered drugs, interest in generative AI (genAI) could be a game-changer for the pharmaceutical industry in the coming years. Sanofi, which has signaled its intent to go “all in” on AI, has inked a deal with ChatGPT developer OpenAI and Formation Bio to build AI-powered software to speed drug…

The life sciences industry is abuzz with the potential of generative AI, but its application in the highly regulated pharmaceutical sector faces challenges. As Jane Lomax, Ph.D., head of ontologies at Elsevier’s SciBite subsidiary notes, “Everyone across the whole industry is experimenting with it. But no one knows for sure yet how best to use…

Using job posting data gathered via the data aggregation service Apify.com, we sifted through a total of 1,755 recent pharma and biotech job listings to find, unsurprisingly, that managers working in senior and director-level roles are the best-paid in the industry. Across the entire data set, the median salary range for the job descriptions was…

In an exclusive interview with Drug Discovery & Development, Astellas Pharma CEO Naoki Okamura and Chief Scientific Officer Yoshitsugu (Yoshi) Shitaka shared details about its new $90 million, 154,000-square-foot biotech facility in South San Francisco. The new Astellas facility will serve as a central hub for Astellas’ Bay Area employees and be pivotal for the…

Last week, Google DeepMind launched AlphaFold 3, a significant update to its predecessor, AlphaFold 2. The latter has profoundly influenced structural biology and biomedicine in recent years while also attracting some skepticism. While AlphaFold 2 could accurately predict the structures of vast swathes of proteins, AlphaFold 3 ups the ante. It offers higher accuracy and…

Deloitte’s 14th annual report on pharma innovation reveals a modest uptick in R&D returns for 2023, with the projected internal rate of return (IRR) for the pharma sector rising to 4.1% after hitting a low of 1.2% in 2022. Yet the report emphasizes the need for biopharma companies to adapt to ongoing challenges and leverage…

In this age of rapidly evolving technologies that fundamentally shift the way businesses operate, such as large language models (LLMs) and natural language processing (NLP), organizations are quickly realizing that success extends beyond innovative technology solutions alone. While these technologies offer immense potential in terms of innovation, data insights and operational efficiency gains, constraints exist…

Yes, generative AI is hyped. And yes, the technology has shortcomings. But the landscape is swiftly changing. Bloomberg Intelligence estimated that the GenAI market would grow from $40 billion in 2022 to $1.3 trillion by 2032. A recent study from Deloitte Consulting estimates that for a top 10 biopharma company with $65-75 billion in revenue,…

As machine learning and deep learning technologies advance thanks to advances in computation, algorithms and data availability, the possibilities of the technology continue to expand in medicine. While these AI-driven approaches have real potential, such systems demand large volumes of representative data, careful privacy and security scrutiny and thoughtful long-term strategic planning. In this Q&A, Kathryn…

The first quarter of 2024 saw a flurry of funding activity in the biotech sector, with early-to-mid-stage companies attracting most of the investment dollars. Among the most notable late-stage deals was blood-based cancer diagnostics firm Freenome‘s $254 million Series E round. The South San Francisco-based company, which is developing a platform for early cancer detection…

The startup Unlearn embodies several trendy AI characteristics. Generative AI company? Check. San Francisco headquarters? Check. Aims to disrupt drug development (specifically, clinical trials) with AI? Check. Prominent AI leadership? Check. Mira Murati, the high-profile CTO of OpenAI, joined Unlearn’s board of directors in 2023. But the company’s pedigree is unique. The firm was founded…

NVIDIA is putting the power of generative AI for drug discovery into the hands of more pharmaceutical and biotech companies with an expanded collection of AI models and flexible deployment options. More than 100 firms are already using the company’s biomolecular BioNeMo platform to accelerate the development of therapeutics. “For the first time in history,…

The pharmaceutical industry is at a critical juncture: AI and other technological advances offer unprecedented potential, yet the cost of developing new drugs has ballooned for decades, surpassing $2 billion in recent years with the projected return on investment (ROI) falling to a mere 1.2% in 2022, according to Deloitte. Another dimension of the problem…

Oak Ridge National Laboratory’s Frontier, the world’s first exascale supercomputer with its dizzying 1.1 exaflop speed, is a game-changer for scientific domains ranging from drug discovery to material science and oceanography. The computer holds the top spot on the TOP500 list, an independent ranking of the world’s most powerful supercomputers. “It’s like having a million…

In drug discovery, interest in harnessing the power of AI ramped up significantly with breakthroughs like AlphaFold, where AI predicted protein structures with astounding accuracy. AI’s initial focus was analyzing existing data, with machine learning systems excelling at tasks like predicting new drug interactions, molecular behaviors, and even biological pathways, based on troves of experimental…

Despite biopharma’s 2023 layoffs and challenges, innovation won your clicks last year with over 130,000 of them on our Pharma 50 report alone. But while giants dominated, your clicks showed disruptive tech wasn’t far behind. The next-most popular article was a roundup of 100 trailblazing cell and gene therapy companies with more than 80,000 views.…

Will the credit for future mega-blockbuster drugs, in some cases, go to a carefully-programmed AI discovery system connected to a “self-driving lab” that verified its potential? Certainly, AI is hyped, but so are potential profits of potentially AI-optimized drugs. The exploding volumes of scientific data highlight a shift often overlooked: what does “inventor” even mean when…

The increasing complexities in clinical trials, including expanded patient populations, decentralized trials and new technologies, are directly impacting the amount of data and information available to clinical trial sponsors. Though this provides significant value to the industry, it presents a new challenge of consolidating disparate and siloed systems, improving standardization and unifying the explosion of…

As patients take a more active role in managing their health, they can find navigating the complexities of clinical trial results daunting. Having access to clear, accurate information is crucial for informed decision-making. This is where patient-reported data from clinical trials has real value, offering key insights into the real world experiences of participants, both…

The Stanford spinout Atropos Health, which taps real-world data to analyze patient outcomes, disease trajectories, treatment effectiveness, is joining forces with Google Cloud. The company had already forged an alliance with AWS to offer its real-world evidence offerings on the AWS Marketplace and join the AWS Partner Network. The company’s core aim is to give…

The field of pathology is gradually going digital, marking a pronounced shift from the traditional use of glass slides, a practice that dates back to the Victorian era. Digital pathology uptake reached an “exponential” pace in the wake of the pandemic, noted Dr. Monika Lamba Saini, pathologist-scientist, director of digital innovation at Q2 Solutions, an…

Amgen has developed a machine learning platform to slash clinical trial times through smarter site selection. Known as ATOMIC, short for Analytical Trial Optimization Module, the system crunches disparate datasets to predict optimal trial locations, expedite enrollment and trial processes. Early results indicate more than a two times increase in enrollment speed at ATOMIC sites.…