Launched to mark the company's 10th anniversary, Osara Health's Global Cancer Support Declaration has already secured signatures from healthcare professionals worldwide.
NEW YORK, Aug. 12, 2026 /PRNewswire/ -- Osara Health, a global digital health company focused on the human experience of cancer care, marks 10 years since its founding with 527 healthcare professionals signing its Global Cancer Support Declaration.
Launched earlier this year, the declaration calls for people living with and beyond cancer to receive support that extends beyond treatment. Signatories include oncologists and cancer specialists worldwide, with a goal of 2,000 signatures by year-end.
Founded in 2016, Osara Health delivers cancer support programs through leading insurers and employers across the United States, Canada, Australia, and New Zealand.
The milestone comes as cancer's impact on working-age populations grows. 45% of cancer diagnoses occur during working life, while improving survival means more people are living with and beyond cancer.
Today, Osara Health supports more than 11 million covered lives through partnerships with organizations including MetLife, Manulife, Guardian, Allstate Benefits, nib, GMHBA, and UniMed. Its programs are backed by more than 11 peer-reviewed studies, including recent findings published in JMIR Cancer in 2026 showing significant improvements in physical and mental health outcomes.
"As an oncologist, I watched people receive excellent treatment and then return home to manage fear, fatigue, work, and family largely on their own. Osara Health was founded to address the human side of cancer: how people feel, function, and live after diagnosis. Seeing colleagues around the world put their names to that belief is the best anniversary gift we could ask for," said Dr Raghav Murali-Ganesh, CEO, Co-Founder of Osara Health, and Radiation Oncologist.
"We started with an app, but the lesson of our first decade is simple: people do better when someone is in their corner between appointments," said Tim Atkins, Co-Founder and COO of Osara Health. "The declaration is an invitation to make that support standard, wherever someone is diagnosed."
To mark the anniversary, Osara Health has released 10 Years Supporting the Human Side of Cancer, available at https://osarahealth.com/2026-declaration.
About Osara Health
Osara Health is a global digital health company transforming the human side of cancer care through evidence-based behavior change science, human coaching, and digital tools. Learn more at osarahealth.com.
Media Contact
Paul Oganyan, Senior Marketing Manager
marketing@osarahealth.com
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Osara Health Marks 10 Years with Global Call to Make Cancer Support Beyond Treatment Standard
Meshy 7 is built around a single standard: the 3D result should agree with the image the user brought. Meshy is also publishing how it measures that agreement — geometry scored directly against reference models held out of training, not by human preference or a vision-language judge.
SILICON VALLEY, Calif., Aug. 12, 2026 /PRNewswire/ -- Meshy has released Meshy 7, its new image-to-3D foundation model, together with the method behind a new 3D geometry alignment benchmark and its first results.
WHY ALIGNMENT MATTERS NOW
The first problem with image-to-3D was whether a model could produce a usable asset at all. Broken surfaces, scrambled structure and missing limbs are now rare enough among leading models that not breaking differentiates very little.
So the question that matters has changed. An asset can look entirely reasonable and still fail to reproduce the reference: a body slightly too wide, a hand shifted out of place, an engraved line from the source image simply gone. Nothing is obviously wrong, and it is not what the user designed. That is alignment, and it separates a good 3D model from one that merely does not break.
INDUSTRY-LEADING ALIGNMENT
Given a single input image, Meshy 7 leads every model tested on all three aspects of alignment: 81.0% on overall proportion, 79.7% on spatial distribution, 59.8% on surface details — measured against four competing 3D foundation models on reference 3D models excluded from training, where 100% is the reference measured against itself. The pattern holds under the front view, the strictest condition, where Meshy 7 leads on aggregate and on each metric individually.
The lead is widest where the problem is hardest. Overall proportion is close across leading models now. Surface details is not — under single-view input no model tested reaches 60% — and this is where Meshy 7 pulls furthest ahead: 5.3 points clear of the closest competitor, more than twice its margin on either of the other two aspects. That is the shape of a real lead: not a fraction of a point where the field is already bunched together, but daylight on the dimension nobody has solved.
With four views the field converges: every model improves, and extra views help most on spatial distribution and surface details, the dimensions most affected by hidden geometry. The leaders end up within roughly two points of one another, and Meshy 7's single-view lead is large enough that the closest competitor catches up rather than clearly overtakes it. Single-view input is where systems separate — and it is the condition most users are in.
Compared with Meshy 6, Meshy 7 improves alignment clearly on both geometry and texture. The benchmark above covers geometry; texture is measured separately.
WHERE THE DIFFERENCE SHOWS
- Faces. A small geometric change is enough to alter an expression, which makes faces one of the hardest alignment tests. Across a set of portrait busts, Meshy 7 does not settle for a generic face: cheeks lift and laugh lines deepen on a smile, the brow tightens and the mouth turns down on a stern look, the face relaxes on closed eyes — while headscarf, knot and clothing stay stable.
- Part relationships. A mechanical object only reads as mechanical when every component sits where it belongs. On a clockwork owl of layered wing armour, exposed gears and thin legs, Meshy 7 keeps the parts distinct and placed as the concept places them, rather than collapsing the design into a bird-shaped mass.
- Dense surface relief. A jade medallion is almost entirely shallow relief — a dragon coiling the outer ring, dense cloud pattern, a raised centre motif, all on a nearly flat disc. Meshy 7 keeps the pattern continuous rather than fragmented, at the depth the image gives it.
Three changes got it there. The image encoder now reads the input at multiple scales and accepts higher resolution, so fine shape information survives into generation instead of being averaged out. The training data was rebuilt to a stricter standard, every sample corresponding exactly to its target geometry with style, lighting and background removed. And geometry alignment became a tracked signal inside every training cycle rather than an evaluation applied at the end — the capability users care about and the number the team optimises against are now the same number.
HOW ALIGNMENT IS MEASURED
The benchmark uses neither human preference nor a vision-language judge; it compares 3D geometry directly.
Reference 3D models held out of training are rendered into input images using known cameras. Each generative model produces a 3D result from those images, which is compared against the original reference geometry — so every test image has a known 3D correct answer. Comparing renders instead would mean estimating the source camera first, mixing camera error into the geometry error being measured.
Before scoring, each generation is aligned to its reference by translation, rotation and uniform scaling only — never stretched along a single axis, so a model's own proportion errors cannot be corrected away. Agreement is then measured at three levels, from overall structure down to fine geometric difference. The reference set spans characters, vehicles, sculptures and thin-structure props, tested under three input conditions: front view, raised top-quarter view, and four views combined.
AVAILABILITY AND WHAT COMES NEXT
Meshy 7 went live on 10 August, open to all Meshy subscription tiers; downloading generated models requires the Pro tier or above. Ultra Mode currently supports single-view generation, with multi-view support arriving shortly. The benchmark described here will be released separately after launch. Geometry is only part of image-to-3D alignment — colour, material and pattern have their own — and a dedicated texture alignment benchmark will follow.
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Meshy releases Meshy 7, a new foundation model that sets a new bar for image-3D alignment
Meshy releases Meshy 7, a new foundation model that sets a new bar for image-3D alignment
