Life Sciences
Pharma, pharmaverse, and life-sciences work.
7 storiesLatest: 21 September 2026
Lead storyWhat AI Companies Are Quietly Building in the Life SciencesWhile everyone watched the model releases, the AI labs were building verified access programmes, wet labs, domain agents and traces. Here is what they are working on, and what it changes for researchers.More in Life Sciences
- 02A Guide to R Package Validation in Pharma: A SummaryA summary of R package validation in pharma, covering GxP compliance, reproducibility, traceability, and risk-based tools like {riskmetric}.
- 03Exploring the Top 5 pharmaverse PackagesA quick tour of five essential pharmaverse R packages, {rtables}, {admiral}, {teal}, {riskmetric}, and {tidyCDISC}, for clinical data analysis.
- 04AI's Role in Improving Femtech for African WomenFemtech refers to technology that supports women's health, livelihoods, and overall wellbeing. Africa is one place where it has been most impactful, opening up opportunities to women across the continent.
- 05Opening Africa's Medical Data Presents Both Pros and ConsOpen medical data hold both advantages and disadvantages, but they will encourage dialogue and partnerships. Africa's data are underrepresented, hard to access, or unavailable, and open access would mark a major step toward solving that.
- 06The Future of Precision Medicine in Africa, the WorldWhat will the future of healthcare look like, and how can Africa overcome inequality and other obstacles to benefit from health data and technologies tailored to the unique genetics of its diverse population?
- 07AI Offers Therapy to Mental Healthcare Sufferers in NigeriaGovernment inertia, negative stereotypes, and stigma still surround mental health in Nigeria. Here is how technology reinforces the illness, and how artificial intelligence could help treat it.
A note from the editor
Hi, I'm Gigi.
AI content marketer, product storyteller, and founder of Asele. I turn technical work into content that moves people to act.
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