AI For Patient Profiling
We are committed to advancing Precision Medicine through the use of our AI to improve disease diagnosis and predict patient response to therapy.By the way, if you can do without the chronometer, you can get a variant with a less ornate ETA 2824-2 at a bargain price of 385 dollars for less money. In this variant, the dial has a sunburst finish and is no less beautiful. Both editions – Chronometer and Standard – are limited to 250 pieces at the particularly low early bird price, after which the price will be higher. The lucky future Essence owners can register now on the Formex website and pay for the clock – even before the Kickstarter campaign starts. The first 250 watches each will be delivered in 2018,swiss rolex replica watches the second production batch will follow in spring 2019.
AI For Patient Profiling
We are committed to advancing Precision Medicine through the use of our AI to improve disease diagnosis and predict patient response to therapy.
Pioneering the Development of Patient Profiling using Interpretable AI
Pathology
- Image Analysis
- Pathology Factors
- Morphology
Multi-Omic
- Gene Sequencing
- Gene Expression
- TMB & MSI Status
Real-World Evidence
- Patient Cohort Characterization
- Phenotypic & Genotypic Variance
- Medical Records
Pioneering the Development of Patient Profiling using Interpretable AI
Pathology
Pathology
- Image Analysis
- Morphology
- Pathology Factors
- Integrated Pathology Network
- Rapid Data QC
- Model Development
Multi-Omic
Multi-Omic
- Our platform ingests molecular data
- WES
- WGS
- RNA-Seq
- Generate Molecular scores TMB, MSI, HRD, etc.
Real-World
Evidence
Real-World Evidence
- Access to Prospective and Retrospective Patient Samples
- Characterized Data
- FFPE Tumor Blocks
- Plasma
- PBMC
- Clinical Response Data
The PREDICT-X Platform
The BioAI Health PREDICT-X platform is a secure statistical machine learning and data management environment, engineered to run on-premise and in the Cloud. PREDICT-X houses proprietary high-performance computing workflows that automate multimodal data processing to develop, deploy, and optimize the latest AI strategies, affording the means to engage with pharma partners, academic medical centers, and data providers. PREDICT-X is engineered for high-performance on-demand compute capacity along with state-of-the-art data security; all data is secured at rest and in motion across servers and application stacks to ensure authorized access to data is always maintained. BioAI Health provides continuous network, server, and application monitoring to maintain performance and security across on-premise and hybrid cloud environments.
Proven
We have a strong track record of supporting the biopharma industry with a solid accomplishment of project and partnership delivery.
Innovative
We develop innovative workflows and analytical solutions to support our Pharma client’s clinical biomarker programs.
Open
Predict-X is an open platform that is capable of ingesting a range of data types including Pathology, Genomics, and Real-World Evidence. BioAI has the technical expertise to build predictive and prognostic models using Multi-Modal data across a broad range of therapeutic areas.
Bio-AI Competitive Differentiators
Proven track record
We have a proven track record of supporting the pharma / biotech industry with a proven record of project and partnership delivery
Innovative solutions
We have developed innovative workflows and solutions that allows to rapidly engage with our clients to complete projects in fraction of time and budget
Open platform
We have an open platform can ingest a range of data types including Pathology, Genomics & RWE allows us multiple points of entry to Pharma
We always strive for elaborate results and do our best for our clients
What we do
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We integrate complex multi-omic data from clinical trials
We build advanced machine learning models on pathology & genomic data and use the Bio-AI platform to determine which pathological and molecular factors play a role in patient response to therapy and drug resistance. Our technology can improve patient selection criteria & increase success rates for clinical programs. Our platform technology can integrate a broad range of disparate data sets from translational studies, clinical trials, and real-world evidence databases. Our aim is to reduce the complexity of this patient profiling data for use in clinical practice and provide researchers and clinicians with actionable insights through a summary report.
We are committed to advancing Biopharma Precision Medicine through use of our AI to help scientists make more informed clinical decisions.
Our commitment to precision and improved data quality control
We develop cutting edge machine learning and deep learning models for our client’s clinical biomarker programs and companion diagnostic tests. We are a team of expert data scientists, bioinformaticians, statistics, pathology and molecular pathology.
Our commitment to precision and improved data quality control
Our commitment to machine learning precision and improved data quality control
Proven track record in developing strategic partnerships with the Biopharma industry resulting from our deep understanding of drug and clinical development.