AI in Healthcare and Life Sciences

The costs and demands of healthcare and life sciences are growing at an alarming rate. The good news is that AI is set to transform the industry in almost every area including hospital management, lifestyle, mental health, drug discovery, and diagnostics.

Drive Productivity in Healthcare and Life Sciences

Healthcare and life sciences produce an exuberant amount of valuable data – data that can help us expedite treatment diagnosis, improve patient care, assist in drug discovery, and many more. AI, particularly deep learning, can significantly improve productivity by automating these tasks and assist clinicians, as well as researchers in providing answers, fast and accurately all while improving patient experiences. 

AI Dynamics’ NeoPulse Manager was designed with clinicians and researchers in mind by providing an easy-to-use drag and drop user interface, step-by-step instructions, and the support of imaging (DICOM), sequence (DNA, RNA, and Protein), and many kinds of omics (genomics, transcriptomics, proteomics, metabolomics, etc) data. AI-backed smart AI model suggestions and AUTO function helps with efficient model building with less human involvement.


Drug Discovery

AI can be used to build new hypotheses to mine, discover new drug targets, design and optimize molecules, optimize screening assays, design clinical trials, and much more.

AI Dynamics has successfully built solutions around:

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Medical Diagnostics

Finding the right patient group is the key to precision medicine. AI can also replace routine decision-making processes in medical diagnostics.

AI Dynamics has successfully built solutions around:

Healthcare Management

AI is only valuable when it can do something a human currently can’t do or do something better than a human can. We aren’t at a point where AI is replacing your doctor because it currently lacks the ability to have a bedside manner or connect the dots on everything at play that impacts your health. But AI is, and will more broadly in the near future, be assisting doctors to help them do things like to diagnose an ailment faster and with greater accuracy.

AI Dynamics has successfully built solutions around:

  • Medical Chart Coding
  • Hospital Management
  • Patient Monitoring 
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Why AI in Healthcare?

Performing routine tasks better than humans

From radiology to IPS cell sorting to spectrography – ability to process volumes of data without human involvement can both accelerate processes and reduce costs and errors.

Efficient hospital management

AI can improve operational efficiency by automating repetitive works in admission to billing such as administrative documentation.

Emulating humans

Increasingly, insurance companies and healthcare providers are using digital assistants to help patients and customers make better decisions or inform them without increasing costs.

Our latest research work with Stanford University

Deep learning detection of prostate cancer recurrence with 18F-FACBC (fluciclovine, Axumin®) positron emission tomography

automagically transform raw data into intelligence


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