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Sequoia India’s Surge backs healthtech startup RedBrick AI in $4.6M funding

TechCrunch

But researchers need much of their initial time preparing data for training AI systems. The training process also requires hundreds of annotated medical images and thousands of hours of annotation by clinicians. For annotating complex 3D medical images, it also has semi-automated tools.

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Meet the 14 companies launching out of the Entrepreneurs Roundtable Accelerator

TechCrunch

Andiamo uses machine learning, 3D simulation and 3D printing to create custome braces for children with cerebral palsy, bringing down the cost and improving outcomes for clinicians, patients and families alike. So without any further ado, here are the startups graduating out of the summer 2021 ERA class. departments.

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Australia’s Fertilis raised $2M to automate IVF embryo culturing

TechCrunch

An IVF clinic is “a very busy place” where professionals “are trained in everything they have to do,” Thompson said in an interview with TechCrunch. ” Fertilis’s solution is to standardize and automate the IVF process by putting each embryo in its patented 3D-printed cradle.

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A year on from Russia’s invasion, Ukrainian startups show astounding resilience

TechCrunch

An AI platform enabling pharma and biotech companies to design new drugs more easily ReLeaf Paper Turns fallen tree leaves into paper and sustainable packaging. UA Drone School UA Drone School offers a 4-day training drone courses in Kyiv and the region. Free for the military.

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AI in Drug Discovery and Repurposing: Benefits, Approaches, and Use Cases

Altexsoft

In the biomedical domain, they serve to predict which compounds will precisely fit into a target molecule with a known 3d structure. To train models, researchers can use commercial and public datasets from shared molecular libraries — such as PubChem , ChEMBL , ChemBridge , DrugBank , and more. Real-life example.

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Business Process Outsourcing (BPO) — A In-Depth Guide 2025

Mobilunity

BPO partners manage technology upgrades and staff training, enabling businesses to save on tech stack, resource allocation, and training. They also provide access to niche-skilled professionals, avoiding delays caused by recruiting and training. This cooperation allowed us to release the product faster and optimize the budget.

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With new funding, Atomic AI envisions RNA as the next frontier in drug discovery

TechCrunch

The biotech industry is experiencing a rush of AI-powered tools for many aspects of the complex drug discovery process. A rotating 3D model of an RNA strand structure predicted by PARSE. But one that has flown under the radar, increasingly thought to be key to certain diseases but woefully understudied, is RNA.