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Why Flatiron is betting on data quality, not hype, to power the next era of cancer care
With global oncology scale and nearly 2,000 scientific publications, Flatiron Health is positioning itself as the industry’s most trusted evidence partner by pairing AI-driven speed with uncompromising scientific rigor. “We don’t chase hype. We build trust, and in healthcare that’s non-negotiable.”
“Preventative care spending fell from 14.1% to just 5.2% of Government healthcare spending.” Ben Phillips warns that welfare reforms could widen existing health gaps.
Anis Fahandej-Sadi breaks down the big problems with current incentive structures
"Almost a third of over-65s will fall each year," but could nGVS represent a discreet tool against imbalance?
To live in the grey zone of sub-clinical pathology is to be unwell enough to hurt, but not enough to be heard.
First-generation medical students carry two textbooks - one devoted to anatomy, the other towards cultivating resilience.
Trillions of microbes inside us are not mere bystanders, but quiet architects of our moods.
"These projects are more than acts of goodwill," China's Health Silk Road is as much about soft power as it is about medicine.
“Pain is treated like a badge of honor" in medicine, but the cost is a workforce breaking under invisible pressure.
"AI has already been shown to be just as, if not more, accurate than dermatologists," Dr. Alexander Green explains, as DERM proves 99.8% effective at ruling out cancer.
Industrial relations between doctors and the state have never been worse
Why Novellia thinks the best biopharma data strategy starts with patients, not pipelines
“Everything that’s good for patients delivers extraordinary value for biopharma - that overlap is the entire company,” says Shashi Shankar, CEO. From symptom tracking to AI-driven normalization, Novellia builds patient-first data infrastructure that scales into biopharma-grade intelligence.
Mark Lappe’s lean biotech model: smaller teams, bigger wins
Inhibrx has built its drug discovery engine around tight, focused teams. The philosophy is simple: “We’re best when we’re smaller. When teams get too big, they stop innovating,” shaping how programs are advanced or spun out.
The lab-data marketplace powering precision medicine’s next wave
As pharma’s demand for real-time lab intelligence accelerates, Prognos Health is leaning in - and after six or seven years of building, the company now sees “a real path to delivering 20 billion health insights by 2050”, says CEO Sundeep Bhan.
Biotech's new superstructure: Vivodyne's bid to turn human tissues into scalable, searchable data
Vivodyne’s automated human-testing platform aims to deliver unprecedented scale, reproducibility, and biological fidelity in preclinical drug testing - powered by patient-derived tissues that “already know the instructions,” as CEO Andrei Georgescu puts it.
Inside Cellares’ $380M push to automate cell therapy manufacturing
With Bridgewater online and global facilities underway, Cellares is moving from platform development to commercial execution. CEO Fabian Gerlinghaus says, “Our factories can produce as many therapies as ten manual facilities - with just ten percent of the people.”
Why Allucent says its global footprint is now a competitive edge in early-stage trials
Paula Brown Stafford argues that real differentiation now comes from pairing global operations with smart, disciplined innovation. “We're adding AI as a teammate, but we still need our team to have their own expertise to ask the right questions.”