Data science

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.…

In an AI hype-filled biopharma industry, one company is taking a back-to-basics yet supercomputer-powered approach — using Bayesian analysis on massive patient datasets to guide drug discovery. The company crunches trillions of data points per patient. “It’s massive, which is why we use a supercomputer,” said Niven R. Narain, Ph.D., BPGbio CEO. The company has…

For all of the talk about AI in drug discovery and development, few Big Pharmas are putting up big bucks in AI spending. A CRB survey from late 2023 painted a conservative picture: about half of drug developers planned on allocating between $1 and $10 million for data and AI projects over the next two…

In late 2023, Eli Lilly, whose stock is now up close to 80% over the past year, inked a deal with the Emeryville, California–based Fauna Bio potentially worth $494 million that focuses on the discovery of novel drug targets for treating obesity. In 2020, Fauna entered into an obesity-focused collaboration with Novo Nordisk, Lilly’s primary…

The 2024 JPMorgan Healthcare Conference showcased the resilience and innovation driving the biotech sector, even as the sector has recently grappled with financial headwinds such as declining IPOs, layoffs, and tightening cash reserves. Companies are tightening operations while still pushing forward in developing novel technologies like machine learning for drug discovery, cell and gene therapies,…

Quantum computing technology continues to advance closer to an everyday reality. While the potential applications of quantum in certain sectors are more speculative, the pharmaceutical industry is poised to be transformed by quantum technology.This sector is likely to be the fastest to unlock the benefits of quantum computing, once the technology is fully realized. But…

In sync with the JP Morgan Health Care Conference, Recursion Pharmaceuticals has unveiled Phenom-Beta, a deep learning model designed to transform cell microscopy images into meaningful biological representations. “Phenom-Beta allows you to take images of human cells from a microscope or other sources and turn them into mathematical representations of biology,” said Chris Gibson, CEO…

The value of artificial intelligence (AI) and machine learning (ML) in medical imaging is undeniable: more accurate diagnoses, predictive insights and streamlined workflows. However, as Big Pharma and medical research institutions amplify their AI and ML endeavors, they confront pivotal challenges. Chief among these challenges are the intricacies of labeling and annotating medical images. Approximately…

The AI oncology startup ConcertAI recently acquired CancerLinQ, one of the largest oncology real-world data and quality of care technology service entities. Originally developed by the American Society of Clinical Oncology (ASCO) in 2013, CancerLinQ aims to use real-world data and technology to improve cancer care and advance evidence-based research.  CancerLinQ has developed one of…

In drug discovery and development, generative AI and natural-language processing (NLP) tools promise more than incremental productivity gains. For companies that can integrate such tools strategically into their workflows, the tools open the door to a fundamental rethinking of operational processes. For instance, generative AI tools can accelerate drafting of research articles, novel target identification,…

The allure of healthcare has long captivated Big Tech giants. Over the past fifteen years or so, several prominent companies in the sector have ventured into the life sciences sector with ambitious projects, only to often find themselves retreating. The dynamic appears to be changing, particularly in drug discovery, thanks in part to burgeoning data…

In the midst of a global pandemic, Pfizer, under the leadership of its chief digital and technology officer Lidia Fonseca, achieved what was once thought impossible. The company, with the partnership of BioNTech, developed a COVID-19 vaccine in only 269 days, a process that traditionally would have taken 8 to 10 years. While prior research…

In late 2022, we published a series of predictions, which, among other things, projected that 2023 would be a “massive showcase” for machine learning (ML) in drug discovery and development. And in many ways, 2023 was a pivotal year for AI in pharma. This evolution in AI and ML applications in pharma built upon the…

Genmab’s senior vice president, global head of data science and AI, Hisham Hamadeh, describes the company’s journey to becoming “a data-driven decision-making company.” In one sense, there is little choice but to do so. “We’re swimming in data like never before. We’ve seen the volumes of data, the ability to compute on that data, and…

Historically, the pharma sector has exhibited a degree of caution in adopting emerging technologies such as cloud computing and AI, given the sector’s stringent regulatory requirements, data security concerns, and the complexities involved in integrating new systems into legacy processes. The situation is beginning to shift considerably with the COVID-19 pandemic, in particular, acting as…

In July, the life sciences services company Eversana revealed it was partnering with AWS to tap generative AI (gen AI) for pharma and other life science customers. It aimed to “pharmatize” gen AI, as the company put it then. Now, the company has revealed the first technology from that partnership – a regulatory review automation…

At its annual re:Invent event, Amazon Web Services (AWS) announced expanded alliances with two leading drug developers, Amgen and Merck, to create generative artificial intelligence (AI) technologies aimed at accelerating drug discovery and increasing efficiencies in manufacturing processes. Merck has been working with AWS and Accenture for several years whereas Amgen and AWS have collaborated…

Chipmaker NVIDIA and cloud behemoth AWS have been partnering for years, and now the two companies are announcing that NVIDIA’s drug discovery generative AI platform, BioNeMo, is now available on AWS. Additionally, plans are underway for BioNeMo to be offered on AWS on NVIDIA DGX Cloud. The alliance was announced at the AWS re:Invent event.…

Technically, graphics processing and AI hardware powerhouse Nvidia is also a drug discovery company. It may not discover drugs in-house, but it has developed BioNeMo, a comprehensive generative AI platform for drug discovery and Clara, a collection of healthcare frameworks, applications, and tools, including for biopharma. Nvidia partners include Amgen, AstraZeneca, GSK and Insilico Medicine.…

During the COVID-19 pandemic in late 2020, the storied Silicon Valley institution SRI International secured a $4.3 million DARPA contract to develop a tool for generating therapeutic small molecules to combat biological threats. Not just known for innovations like the computer mouse and Siri, SRI International is also responsible for Synfini, a multimodal chemistry model…

The tale of digital pharma and biotech in 2023 is one of two realities. In one corner, you have AI and digital-focused startups and sometimes executives at Big Pharma companies with grand AI ambitions proclaiming the power of the technology. But on the other side of the pharma-AI coin is a more cautious crowd. Here,…

AI Meets Life Sci explores the transformative role of AI and ML in the life sciences. The series zeroes in on major obstacles and opportunities in healthcare, presenting insights from Big Pharma, medtech OEMs, and Tech Giants, shaping the healthcare landscape and leading to better health outcomes. For more information, check out our website.

A vision for data-driven drug development in oncology When Peter Carr, principal software architect of Lantern Pharma, stepped into his full-time role in September 2020, the company was on the cusp of a transformation. While AI had been a focus for a number of years, a fresh infusion of cash provided a possibility of expanding…

In recent years, the term “data lakehouse” has entered the lexicon of data professionals. For AI-enabled clinical trials, the lakehouse architecture promises seamless integration of diverse data streams, spanning patient health records to real-time sensor data, all processed efficiently and queried in structured formats. The lakehouse architecture aims to provide a comprehensive overview of data,…

Traditionally, the tech and biotech sectors in the U.S. have been concentrated in a handful of regions — most notably in areas such as Boston, Seattle, Silicon Valley and Southern California. But the Biden administration aims to distribute innovation more evenly through the U.S. To that end, the administration has designated 31 tech hubs across…