The Grants4Apps® Accelerator Berlin 2017

The Grants4Apps® Accelerator is a mentoring program for digital health startups taking place in Berlin. This year's batch with five startups runs from September until November. The program offers mentoring by entrepreneurs and Bayer experts, office space for 100 days, and funding of 50,000€.

This year Grants4Apps® Accelerator is focusing on digital health solutions that solve the following healthcare and life sciences' challenges:

Clinical trials

  • Patient identification and recruitment for clinical trials.
  • Improving the patient experience in clinical trials.
  • Develop a mobile platform for patients to report their health condition parameters.
  • Adherence improvement in (clinical trials OR) real life.

Data analysis

  • Data analysis tools to systematically identify competitor activities in Research & Development.
  • Deep Learning Research Services for health and life science data.
  • Transforming Electronic Health Records (EHR) data to analysis data sets.
  • Analyze drug labels (patient information leaflet) to generate new insights.

IT

  • How to implement prediction algorithms in hospital information systems.

Nephrology

  • Monitoring of chronic kidney disease (CKD).
  • Diagnosis of acute kidney injury.

Women's Health

  • Develop early non-invasive diagnosis of endometriosis.

Pulmonology

  • Improve identification of Chronic Thromboembolic Pulmonary Hypertension (CTEPH) patients.
  • Improve adherence for an oral pulmonary hypertension treatment.
  • Innovative and efficient concepts for training staff to use a drug and device combination product in an intensive care unit setting.

Additional to the challenges, the program is also open for innovative digital health solutions directed to help healthcare providers or patients, as well as products dedicated to prevent or diagnose diseases or improve pharmaceutical processes.

Submissions are accepted from legal entities or persons all around the world. Also Bayer employees are encouraged to submit their own startup business ideas.

Over 100 Bayer experts are involved in the process to decide which companies Bayer will work with; judging criteria include company maturity, existing product prototypes, the team, as well as the applicant's fit to Bayer's areas of expertise.

Submission deadline: 31 May 2017

For further information, please visit:
http://www.grants4apps.com

About Grants4Apps®
We connect health startups with industry experts and help the best talents to thrive within the digital healthcare universe. We are looking for startups beyond the ideation phase developing health technology or IT solutions that can connect and empower patients or healthcare stakeholders.

There are no boundaries to creativity!

Most Popular Now

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...

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...

Digital ECGs at Barts Health: A High-Imp…

Opinion Article by Dr Krishnaraj Sinhji Rathod, consultant in interventional cardiology, Barts Health NHS Trust. Picture the moment. A patient in an ambulance, enroute to hospital with new chest pain. Paramedics...

Study Sheds Light on Hurdles Faced in Tr…

Implementing artificial intelligence (AI) into NHS hospitals is far harder than initially anticipated, with complications around governance, contracts, data collection, harmonisation with old IT systems, finding the right AI tools...

Using Deep Learning for Precision Cancer…

Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in Nature Communications, the...

New AI Approach Paves Way for Smarter T-…

Researchers have harnessed the power of artificial intelligence (AI) to tackle one of the most complex challenges in immunology: predicting how T cells recognize and respond to specific peptide antigens...

Study Used AI Models to Improve Predicti…

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately progress to end-stage renal disease (ESRD). Globally, the prevalence of the...

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...