German Accelerator Life Sciences (GALS) Alumni Company SpinDiag Closes € 3M Funding Round

German Accelerator Life SciencesGerman Accelerator Life Sciences Alumni company, SpinDiag, just announced the successful closing of 3 million Series A funding round. The Freiburg-based health tech startup addresses the challenge of patients introducing drug-resistant bacteria into hospitals. SpinDiag provides a rapid point-of-care screening system, SpinDiag one, to test high-risk patients for all relevant drug-resistances.

The German Accelerator Life Sciences (GALS) program with its experienced mentor team and extensive network of partners and industry experts, contributed to the development of SpinDiag's U.S. regulatory and market access strategy.

"We greatly enjoyed working with GALS. We had the opportunity to work with highly competent experts in our field and learn a lot about the U.S. market and regulatory processes," said Daniel Mark, CEO and Co-Founder of SpinDiag. "With the recent closing of our Series A financing round, successful pilot experiments and all pieces coming together, we are looking forward to entering clinical validation in Europe next year. Following that, receiving FDA approval and entering the U.S. market is an exciting prospect. We will start tackling this challenge in the near future."

"It was a great pleasure working with such a young, dynamic, and engaged team as SpinDiag," commented Steven Laken, GALS Strategic Lead. "As we worked with them through U.S. quality and regulatory guidelines, seeing the great headway the company made within the GALS program was truly impressive. This will set them up for their EU market entry, but it has also laid out the strategic groundwork SpinDiag will need for their U.S. regulatory approval and market access strategy."

"We congratulate SpinDiag on successfully closing their Series A. GALS is proud to have contributed to SpinDiag's success. We will maintain to be a sparring partner for SpinDiag within the context of the Alumni program," commented Christoph Lengauer, CEO of the German Accelerator. He adds: "The work we did with SpinDiag is a beautiful example on the strength of the GALS program in bringing the right people with an in-depth know-how of the sector together. Steve and his team, including Barry Berger, Bill Pignato, and David Deems, are all seasoned experts in bringing diagnostics to the market. They helped SpinDiag achieve an important milestone in record time."

SpinDiag's technology can easily be extended beyond the initial test for drug resistance and therefore has high potential for clinical impact. The aptitude of SpinDiag's technology and the strength of their team is also reflected in the multitude of awards they have been granted. Amongst many others, some of the most prestigious and recent accomplishments of SpinDiag are: being a finalist in the "health and well-being" group at DeepTech4Good in 2018, Molecular Med Tri-Con "Swimming with the Sharks" in 2017, and receiving the Medtech cluster award by B. Braun at code_n in 2016.

About SpinDiag

SpinDiag is a German start-up company. Our first product focuses on preventing the spread of antibiotic-resistant bacteria in hospitals. Fast and easy detection of all relevant antibiotic-resistant bacteria in patients during admission allows efficient and safe quarantine decisions. SpinDiag thus enables a safe and economical admission process without an expensive quarantine of risk patients on suspicion and without risking the spread of potentially lethal antibiotic-resistant bacteria in hospitals.

About the German Accelerator Life Sciences

The German Accelerator Life Sciences (GALS) program empowers German life sciences startups and young companies to successfully enter the global marketplace. GALS offers support in multiple areas: from operational assistance, such as office setup in the world's leading life science innovation hub, to mentoring and strategy advice by industry experts and experienced leaders. GALS opened its doors in October 2015 and is headquartered in Cambridge, Massachusetts.

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...