Manceps brings
machine learning
to medicine

• Efficiently Organize and Manage Patient Care
• Automate Contracts and Payments
• Accelerate Diagnostics and the Treatment Development Process

In the last few years, health care providers and insurance underwriters have started to see the power of bringing machine learning to their industry. Now, medical organizations of all sizes are in a scramble to not only reduce bureaucracy but also increase the accuracy of diagnostics and the speed by which patience can be approved for treatment.
Unfortunately, many health care organizations — particularly insurers — are still processing patient case files manually, which can be a laborious and error-prone process. 
Manceps makes it easy for health care providers to bring automated solutions to patient care.


High costs of healthcare, particularly diagnostics and drug discovery. • Bureaucratic inefficiencies associated with maintaining patient records and approving treatment plans. • Slow clinical trials • A need for greater physician training.
FREE RESOURCE: AI Examples from the World's Biggest HEATHCARE Companies


Doctors use image recognition technologies to detect disease more easily — and in some cases, automatically.

Insurance providers use natural language processing to summarize patient case files and approve treatment plans more quickly.

Pharmaceutical companies drastically reduce the time it takes to identify efficacious molecules and bring them to market.

Surgeons perform procedures with assistance from robotics and AI.

Pharmacists catch dangerous drug interactions early.

Patients receive better, more personalized care.


Patient Case File Processing

Natural Language processing has been a boon for the health care sector. In fact, here at Manceps, we’ve already worked on several projects in this space to bring NLP and Optical Character Recognition to the process of sharing, evaluating, and summarizing patient case files. 
Traditionally, insurance organizations must approve treatment plans manually. To accomplish this arduous task, medical professionals evaluate patient case files to make a decision. To ensure quality care and limit liability, these files can be hundreds of pages long, containing everything from detailed patient health information to specifics on their insurance coverage.
By imbuing this process with machine learning, health care organizations drastically streamline this process. 
Our algorithms can automate repetitive tasks and even summarize, in natural human language, the important aspects of a patient’s profile.

Diagnostics & Disease Detection

It seems like every week, researchers are announcing new ways to use image recognition and deep learning for disease detection. So far, AI has been used to detect breast cancer, early-stage Alzheimer’s, pneumonia, eye diseases, bacterial meningitis, and lots of others.
The process of training deep learning models to detect disease can be complex. For example, it can be very difficult to accumulate the necessary dataset of positives to the train the model.
By partnering with Manceps, you get access to a highly-skilled data science team who can help you throughout the entire research process.
Our collaboration can be as simple as outlining your goals of the research project and we can get to work, developing AI-powered solutions that help you gather the data and deploy a diagnostic model.

Pharmaceutical Research

While disease detection typically relies on image recognition models, pharmaceutical research finds patterns in much more complex datasets. Nonetheless, convolutional neural nets have shown so much promise delivering new pharmaceutical molecules, they are now being used at over 150 startups and 40 pharmaceutical companies to support the drug discovery process. 
It may surprise you, however, that very few of these organizations have a sufficiently-robust AI team to expediently advance their research. This is where Manceps comes into play. We make it possible for you to bring an army of AI experts and Data Scientists to your most pressing disease treatment challenges.

Personalized Patient Care

There's nothing more personal than health care. However, as professionals see an ever-increasing number of patients, it's increasingly difficult to give each patient the attention they need. The good news is that deep learning is finally making it possible to deploy customized care, at scale, across the entire industry. By deploying big analytics and advanced solutions, these new approaches are leading to higher quality care at lower costs.
Regardless of your company’s size, Manceps can help you design, develop, and deploy AI-powered tools that can deliver customized care, at scale. These tools can support healthcare providers at any stage of the process: from interactive customer service agents on the phones to AI-powered doctor assistants in the clinic or pharmacy.

AI Powered Medical Devices

Because AI will increasingly play an outsized role in the healthcare sector, we can expect hospitals and clinics to increasingly turn to medical devices that leverage artificial intelligence. All sorts of devices can be imbued with AI to streamline diagnostics and ensure medical accuracy. 

Manceps can help you identify new ways to power your products with AI and give you the technical resources to bring them to market.