We’ve said it before, and we’ll say it again: AI rewards preparation, not ambition. Teams that invest in data quality and experimental design will always outperform those who just dive headfirst into the latest technology. We know this because we are often called in to course-correct those who did not heed this advice. In this… Read More »AI in the Wild Part 1: AI Readiness and Preparation
RNA-Seq analysis often seems straightforward, like just pushing a button. But to do it well, especially for finding new drugs, you need more than just a basic approach. Every study, every experiment, and every set of data is unique. Getting RNA-Seq analysis right means you need to understand biology, be good with statistics, and really dig into the… Read More »Getting RNA-Seq Right and Getting it Fast with GPU-Accelerated Computing
Every year in early spring, a major opportunity arrives for the biomedical research community: the annual allocation of grant funding. This money is designated as an investment into accelerating drug discovery and disease research, focused on unlocking groundbreaking scientific innovations. Given the tight timeline, researchers must begin preparation now to maximize their efforts in utilizing… Read More »Getting Ahead of the Curve: Preparing for Grant Allocation
A practical, biology-first look at AI in drug discovery, where it helps, where it fails, and how Diamond Age helps teams avoid hype-driven mistakes.
“We have results from our clinical trial, and need Diamond Age’s help in analyzing the data.” These words are like music to my ears. Clinical trial projects are exciting to me because they are some of the first looks we have at how treatments behave in human patients. We get to see if our hypotheses… Read More »The Necessary Mindset Shift: From Pre-Clinical to Clinical Bioinformatics
Diamond Age Data Science and the Boston Computational Biology and Bioinformatics Meetup recently packed the house for a discussion on one of the buzziest topics in science today: AI in computational biology and drug discovery. Taking a grounded perspective, the panel got real about what AI can do today, where it is still tripping up, and… Read More »The Real Story on AI in Drug Discovery
Take a look at our newsletter for Fall, 2025.
From the smallest lab bench to the largest pharma pipeline, every discovery relies on the same invisible network of publicly funded data resources and open-source software tools. They are the launchpad for target identification, the scaffolding for experiments, and the accelerators that help companies move at the speed of need. Imagine losing access to PubMed,… Read More »Your Science Runs on Open Source. Here’s Why it’s at Risk and What You Can Do.
After a prolonged period of uncertainty, Congress has officially rescinded the proposed cuts to the NIH budget. It’s a welcome development that puts vital biomedical research programs back in motion. But for many labs and research teams, the path forward isn’t simple. Projects were paused mid-stream, mid-thought, mid-analysis. Key scientists have moved on. Institutional knowledge… Read More »Getting Back on Track: A Message to NIH-Funded Teams
A lot of job descriptions for junior bioinformatics roles ask for strong coding skills, deep biological insight, strategic thinking, and polished communication. These roles aim high and for very good reason. Bridging biology and computation is at the heart of modern life science research. But for early-career scientists, developing fluency across all these domains takes… Read More »When Your “Junior” Hire Needs at Least a Decade of Experience
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