Category Archives: Apps

Clinical Trial Matching

Today, the pharmaceutical industry faces a time challenge since approval of innovative new drugs requires successful completion of clinical trials. Identifying relevant candidates for clinical trials is time-consuming and not targeted, e.g. by using TV and newspaper advertisements. Benefits for participants of clinical trials remain hidden during their participation, which results in relatively high dropout rates exposing many clinical trials at risk to fail before their completion.

Together with experts from the pharmaceutical industry, we created the Clinical Trial Matching app: an innovative data-driven way to identify and contact relevant candidates for clinical trials within seconds. We incorporated latest in-memory database technology to test inclusion and exclusion criteria for registered users. Search results are clustered accordingly to identified similarities and ranked compared to perfect matching candidate. Ultimately, selected candidate can be contacted directly to highlight the benefits from participating in the given clinical trial.

During the whole process, the personal identity of candidates is kept private. After conducting an informed consent interview with the personal medical doctor, she or he contacts the clinical research organization to acquire further details. As a result, identifying clinical trials participants can be performed for the first time within seconds saving a tremendous amount of preparation time. Furthermore, participants in clinical trials may benefit from access to latest medical innovations, i.e. access to an improved way of healthcare long before it is released to public access.

Data Donation Pass


The data donation pass is an innovative way for citizens taking care of their personal health. It enables easy sharing of personal health and fitness data with known third-parties, such as family members, physicians, and selected research projects, whilst keeping full control of  personal data.

Users of the data donation pass app define their health interests in their personal online profile. Based on these interests, relevant information and projects are carefully compiled and forward to the users keeping their identity private.

Based on their personal interests, citizens can chose to participate and support individually selected projects and start by a single click. After indicating their interest to donate data for a specific use case or project, all relevant medical details are forwarded to their trusted medical doctor, e.g. the general practitioner, who takes care of the informed consent. Thus, the user can raise any open questions and understand eventual implication of her/his participation.

Participants in projects receive regular updates about how and how often their donated data was used for what purpose. Thus, they can better understand how their donation contributed to a concrete project. Nonetheless, users can redraw their personal consent to donate data at any point in time. As a result, participants keep full control of the use of data.

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Cloud Services for Analysis of Genome Data

Alignment screenshotGenome data can be used to identify individual roots of certain diseases and to derive specific treatment decision. However, clinicians and medical experts only rarely incorporate genomic data due the required technical knowledge nowadays. We focus on providing tools and services for non-IT experts that enable them to process and analyze medical data, e.g. genome data, by themselves. Our services are provided as Software-as-a-Service (SaaS) cloud applications eliminating the need for local hardware resources. Test-drive our Cloud Services for Analysis of Genome Data today.

Workflow

The user logs into the personal account, which protects all personal data. After submitting raw genome sequence data, e.g. as FASTQ file, the algorithm for alignment and the reference genome are configured. The high-throughput processing of data is performed asynchronously, i.e. multiple samples can be submitted in parallel. After processing, results can be explored interactively. Thus, medical results from international research databases are combined to identify relevant mutations and diseases. Identified mutation sites of individual study participants are listed and sorted accordingly to their relevance for certain diseases. In addition, each mutation site can be investigated in a detailed way on various levels, e.g. nucleotide or amino acid base, using our Genome Browser. The comparison of genomic data from multiple patients or samples, is supported by our Cohort Analysis.

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Medical Knowledge Cockpit for Patients

Medical Knowledge Cockpit for PatientsWe are happy to announce that our latest application the “Medical Knowledge Cockpit for Patients” is online available. It enables you to securely store your personal information, such as biomarkers and diagnoses, within your private electronic health record. Thus, you can perform iterative searches without the need to provide all your medical details each time.

Drug Response Analysis

Drug Response Analysis (Poster)

Poster

Medical doctors can chose from a variety of available medical drugs for specific types of cancer. However, the American Society of Cancer published in 2012 that three out of four applied chemotherapies do not work as expected. The challenge for medical experts in course of personalized medicine is to select the combination of medical drugs, which works best for an individual patient.

To predict the drug’s effect for a concrete tumor and patient, it is possible to extract the tumor and test various therapies in parallel in laboratories and document the outcome. Today, this is a time-consuming process requiring excessive wet-lab work and time-consuming manual data analysis.

With the help of our in-memory technology, we were able to improve the analysis process from weeks of manual data analysis to minutes of interactive data exploration. With a growing library of experiment results for a drugs applied to a certain type of cancer, we are now able to predict the drug response for new tumors minimizing the drugs to test. Furthermore, we enable researchers to discover correlations between genetic variants and drug response interactively. Thus, researchers are able to verify hypothesis in a couple of minutes for the first time and deriving new indicators to select a concrete drug and therapy combination per patient.

You can find a detailed overview of the process and our findings in the poster attached to this webpage and selected application screenshots in the gallery below.

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Clinical Trials Search

Clinical Trials Search on iPad
To identify relevant participants for clinical trials, preconditions are formulated as long text document. With more than 30,000 active clinical trials worldwide, it is hard to keep pace with newly released trials. Thus, the identification of appropriate clinical trials is a time-consuming and manual task for clinicians today. While investigating genomic variants of a particular case, our cloud services automatically check all open clinical trials for relevant preconditions, such as age restrictions, affected genes, and pharmaceuticals. As a result, clinicians and researchers receive a list of ranked trials. Thus, only this very short list of possible trials needs to be checked for applicability. Since the extraction of entities is performed instantly, new clinical trials are directly included in the search once they are published.

Medical Knowledge Cockpit App

The Medical Knowledge Cockpit shows how in-memory database technology combines international research data with patient specifics to find most relevant details for the treatment of individuals in course of personalized medicine in real-time. The video provides you with a brief walk through of an interactive use of the Medical Knowledge Cockpit.

Experience our Medical Knowledge Cockpit yourself and experience the advantages of in-memory technology interactively.

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