category
3 stories filed under category on Beyond Market Intelligence. The newest of them: “Investors are betting big on body scans to transform preventive care”, “Automate sheet titles into formulas for smarter monthly tracking”, and “Explore how deep learning unlocks new insights in single-cell analysis.”. Neko Health just raised $700 million to scan bodies for preventive care, and it's not alone. Manually updating every formula to reference a different month is tedious and error-prone. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every category story on Beyond Market Intelligence, newest first.

Investors are betting big on body scans to transform preventive care
Neko Health just raised $700 million to scan bodies for preventive care, and it's not alone. Midjourney is building its own scanner, and Function Health has raised significant capital too. Investors see something here: the chance to catch problems before they become crises. We explore why on this episode of Equity. For more on how AI is reshaping industries, check our piece on Flow Engineering's $750M valuation.
Automate sheet titles into formulas for smarter monthly tracking
Manually updating every formula to reference a different month is tedious and error-prone. This reader wants Excel to append the sheet name to table names automatically, then feed those dynamic references into formulas like `=SUMIF(Bob_Expense_Jan[Category],[@Expense],Bob_Expense_Jan[Amount])`. It's a smart ask because it would let one formula work across all monthly sheets, and even update column headers on annual totals when a tab is renamed.

Explore how deep learning unlocks new insights in single-cell analysis.
A survey covering 25 deep learning methods across six subcategories for single-cell RNA sequencing analysis is a lot of ground to cover. The author of this paper didn't just list them; they organized each method by purpose, architecture, metrics, and, crucially, its specific novelty. That last part is what makes the survey genuinely useful for anyone trying to navigate the field. It's one thing to know a model works, another to understand why it was built differently.