Bayer Grants4Apps® Dealmaker Berlin 2017

Bayer Grants4Apps® is calling all mature teams, startups and companies that have a solution ready to go. The new Dealmaker is all about quality facetime between you and Grants4Apps' experts for one full day. If there is a match, you will be invited to Berlin to pitch your solution, discuss collaboration options and close a deal. Find out, if there is a mutual interest to start a bigger journey.

Grants4Apps team has put together specific challenges, applicants are asked to address one or multiple of these challenges below. However, the team is also open for other solutions that help healthcare providers or patients, as well as products dedicated to preventing or diagnosing diseases or improving pharmaceutical processes.

The Challenges

Hemophilia

  • Empower hemophilia (bleeding disease) patients to individually adjust their treatment regimen to lead active lives.

Women's Health

  • Enabling earlier diagnosis of endometriosis.
  • Enhancing intrauterine device insertion training for providers.
  • Providing effective contraceptive counseling (face to face, remote or automated).
  • Improving comfort and experience during intrauterine device insertion for both providers & patients.
  • Simplifying the thread/placement check post-insertion of intrauterine devices.

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.
  • Create awareness for limited outcome of standard of care treatment for pneumonia in the hospital.

Ophthalmology

  • Remote/mobile screening for Diabetic Retinopathy.
  • Remote monitoring of patients treated with anti-Vascular Endothelial Growth Factors (VEGFs).
  • Utilizing real-world evidence (RWE) to predict the need for anti-Vascular Endothelial Growth Factors (VEGFs)-injections.

Nephrology

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

Artificial Intelligence

  • Prediction of combination therapies for cancer.
  • Extract compound structures and Structure-Activity Relationship (SAR) data from patents.
  • Computer-assisted identification of new compounds for protein targets.
  • Develop analysis tool for in vivo experiments.

Data Analytics

  • Data analysis tools to systematically identify worldwide 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 to generate new insights.
  • Develop efficient analysis of large scientific literature corpi to generate insights.
  • How to implement prediction algorithms in hospital information systems.
  • Social Media use in pharma.

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.

Submission deadline: 30 June 2017

For further information, please visit:
https://www.grants4apps.com/berlin/program/dealmaker-berlin-2017/

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

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...