Healthcare
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Product
Strategy
Our strategy at DNAi is to provide innovative and customized solutions that leverage advanced technologies like Big Data processing, AI, and digital twins to help healthcare professionals and researchers improve patient outcomes and accelerate the discovery of new treatments.
DNAi Solutions for Healthcare and Medical Research
DNAi offers a range of services in the healthcare sector, specializing in the processing and storage of large volumes of medical data (Big Data processing). Our offerings include:
- One-click aggregation databases:
We provide easy-to-use solutions for managing and storing vast amounts of healthcare data, enabling efficient access and analysis of critical information.
Platforms and software for the aggregation, annotation, and presentation of genomic data:
Our advanced tools help researchers and medical professionals gain insights into genomic information, accelerating the discovery of new treatments and personalized medicine approaches.
- Custom development of healthcare and laboratory applications:
We design and build tailored applications to address specific needs within the healthcare and laboratory sectors, streamlining processes and improving overall efficiency.
- Automation of bioinformatics processes at all stages of analysis:
Our solutions optimize bioinformatics workflows, reducing manual tasks and increasing the speed and accuracy of data analysis.
- Integration and support of bioinformatics software:
We provide expert guidance and assistance in integrating and maintaining bioinformatics tools, ensuring smooth and efficient operations.
- Assistance with prosthetic device design:
We leverage our expertise in data analysis and AI to help design advanced prosthetic devices, improving patient outcomes and quality of life.
- Utilization of digital twins in healthcare:
We harness the power of digital twins to simulate and analyze medical processes, enabling healthcare professionals to optimize treatments and predict patient outcomes in real-time.
Our expert team is capable of addressing a wide range of healthcare challenges.
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Our interdisciplinary team has the expertise to understand and tackle complex healthcare issues, combining their knowledge in various fields.
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Our skilled developers ensure seamless integration of solutions, efficient data management, and user-friendly interfaces.
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Machine Learning (ML), Artificial Intelligence (AI), and DevOps specialists
Our team stays ahead of the curve with cutting-edge technologies, applying ML and AI techniques to solve pressing healthcare problems and streamlining processes through DevOps.
Our interdisciplinary team has the expertise to understand and tackle complex healthcare issues, combining their knowledge in various fields.
Our skilled developers ensure seamless integration of solutions, efficient data management, and user-friendly interfaces.
Our team stays ahead of the curve with cutting-edge technologies, applying ML and AI techniques to solve pressing healthcare problems and streamlining processes through DevOps.
Deliverables
Our experts are adept at addressing modern topics such as:
Data mining using deep learning and machine learning:
We harness the power of advanced algorithms to analyze large datasets, uncovering hidden patterns and insights that can inform healthcare decision-making.
Building databases for massive data volumes and processing:
Our team designs and implements robust database solutions, enabling efficient storage and analysis of vast amounts of healthcare data.
Processing of sequencing data and bioinformatic analysis of genomic data:
Our experts specialize in handling and analyzing genomic data, supporting research and development in genetics and personalized medicine.
Development and DevOps of modern healthcare applications:
Our team excels in designing, building, and maintaining cutting-edge healthcare applications, continuously improving and optimizing them through DevOps practices.
Integration of hospital and healthcare information systems with HL7 standards:
We ensure seamless communication between various healthcare systems by integrating them using the HL7 standard, promoting interoperability and data exchange.