This blog post contains contributions from Dale Bodian and Jason Warner. The most expensive AI mistakes usually come from forcing complex methods onto datasets that aren’t ready for them. In the first part of our ‘AI in the Wild’ series, we talked about these mistakes and the importance of AI-readiness. In the second part of… Read More »AI in the Wild Part 2: Implementing Machine Learning Models
“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
We do a lot of RNA-Seq analysis at Diamond Age Data Science, and we’ve found that most cases require customization or work above and beyond a standard one size fits all analysis plan. See how we approach these specialized scenarios, focusing on applications in drug discovery. https://diamondage.com/wp-content/uploads/2024/02/RNA-Seq-Analysis-for-Drug-Discovery.mp4
Long-read sequencing technologies have revolutionized the field of genomics in recent years. These advances have opened up new avenues for biological discovery and drug development, enabling scientists to identify novel drug targets and develop personalized therapies. Diamond Age Data Science has successfully completed several client projects involving long read sequencing in a variety of applications… Read More »Long-read sequencing in drug discovery
Spatial transcriptomics profiles RNA expression in hundreds of areas of tissue without dissociating cells. It provides a 2D map of expression overlaid on a tissue slide, allowing researchers to focus on RNA expression in specific areas of the tissue.
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