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Abstract The translation of scientific discoveries into marketable biotechnology products remains one of the most challenging phases in the innovation pipeline. Despite significant advances in molecular biology, genomics, and computational sciences, a large proportion of academic findings fail to reach practical application. This gap, often described as the “first hurdle,” reflects a fundamental misalignment between the objectives of academic research and the requirements of

For decades, the journey from scientific discovery to commercial success has been described as a straight line: make a discovery, publish the results, file a patent, start a company, raise capital, and scale. In reality, this path rarely unfolds in such a clean sequence. Many promising technologies fail not because the science is wrong, but because the process of translation is misunderstood. The Lab-to-Market Transition Model offers a different view. It treats commercializat

Deep tech is entering a defining decade. What was once considered slow, expensive, and uncertain is now becoming the core of global innovation. The shift is not just about new technologies—it is about a new model of how companies are built, funded, and scaled. At its foundation, deep tech is driven by scientific discovery. Breakthroughs in biotechnology, artificial intelligence, advanced materials, and clean energy are no longer isolated research achievements. They are formin

In the era of data-driven healthcare, the fusion of artificial intelligence (AI) and biology is opening up a new frontier in precision medicine. Scientist-entrepreneurs—the bridge between the worlds of research and innovation—are at the forefront of this transformation. By harnessing the power of AI to analyze complex biological data sets, these pioneers are accelerating drug discovery, improving diagnostic accuracy, and personalizing treatment plans in ways never before poss

Across the globe, women scientists are breaking barriers and reshaping the deep tech entrepreneurial landscape. With backgrounds in fields such as biotechnology, artificial intelligence, quantum computing, and materials science, they are not only driving cutting-edge innovation, but are also founding and leading successful startups that are bringing transformative technologies to the market. Deep tech—with its advanced scientific discoveries and engineering innovations—requir

The journey from academic research to commercial innovation is no longer limited to business-savvy entrepreneurs—scientists themselves are increasingly taking on the role of founders and CEOs. With deep technical expertise and a desire to translate their discoveries into real-world impact, these scientist-entrepreneurs are transforming breakthrough research into biotech startups that are redefining healthcare, diagnostics, and therapeutics. At the heart of this transformation