GE Healthcare dives further into acquiring new technologies
GE Healthcare has recently placed significant investment in new technologies to further drive the healthcare industry and deliver quality care to patients. It has been announced that the company has acquired start-up bioprocessing company Puridify to support the manufacturing of new medicines, increase its ability to scale and provide improvements within process development.
Puridify has secured a number of prestigious awards, such as the 2016 BioProcess International Award for ‘Best Collaboration’ with GlaxoSmithKline to advance industrial evaluation of Puridify’s FibroSelect.
The company is set to bring Puridify’s platform to commercialisation by fully integrating its technologies within the broad range of bioprocess purification products at GE.
“Investment in this new technology is further evidence of GE’s strong commitment to innovation in the production of biopharmaceuticals to the benefit of our customers and of patients world-wide,” explained Jan Makela, General Manager, BioProcess, GE Healthcare Life Sciences.
“Puridify has spent the last three years developing its industrial nanofiber-based platform purification technology in close collaboration with leading biomanufacturers with promising results,” commented Oliver Hardick, Chief Executive Officer of Puridify.
“Our goal is to introduce significant improvements to bioprocessing and being part of GE helps us to maximise this opportunity.”
The company has also invested in Israeli AI healthcare start-up MedyMatch, which provides clinical decision support technology within the diagnosis of trauma and stroke. The move will see GE integrate MedyMatch’s intracranial haemorrhage detection platform into its medical imaging software and see patients be diagnosed and receive the required help in a timelier manner.
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"MedyMatch focuses on delivering patient-specific assessments directly to the physician at the patient's bedside. MedyMatch is bringing to market a new category of medical solutions that leverages deep learning, machine vision, and the full richness of 3-D imaging and other relevant patient data," explained Gene Saragnese, Chairman & CEO of MedyMatch.
MedyMatch is pushing the boundaries with the use of real-time data in the emergency room,” said Mike Barber, CEO of GE Healthcare MICT. “MedyMatch’s acute care clinical decision support products are aligned with the needs of the marketplace, supplying clinical decision support tools, with the goal of improving patient outcomes, and processed at the point of image creation.”
There are currently no automated tools in emergency or radiology departments that are in use to assist physicians in detecting intracranial haemorrhage. By harnessing clinical understanding in conjunction with machine vision and deep learning, MedyMatch's mission will be to deliver real-time A.I. based clinical decision support tools to physicians in the assessment of patients in ER without disrupting the clinical workflow.
According to the American Heart Association and American Stroke Association (AHA/ASA), stroke is the fourth leading cause of death and one of the top causes of preventable disability in the United States. Affecting 4% of US. adults, it is forecasted that by 2030, there will be approximately 3.4mn stroke victims annually in the US., costing the healthcare system $240bn on an annual basis.
Furthermore, GE are working to transform blood collection through privately-held healthcare technology company Drawbridge Health. Developing proprietary technology designed to integrate draw, collection and sample stabilisation into a single device, healthcare providers will be able to deliver a superior patient experience, eliminating the need for phlebotomy and travel to blood draw centres.
“With Drawbridge Health, we are combining technology from GE Global Research, expertise from GE Healthcare and business models from GE Ventures to offer a simple, safe and more efficient solution that can help save time, money and lives,” commented Risa Stack, Managing Director of New Business Creation, GE Ventures.
Lee McCracken, CEO, Drawbridge Health said: “The current sample testing process is inconvenient and challenging for patients and medical providers, alike. It requires clinical processing equipment, often a technician specifically trained to draw blood, plus a trip to the doctor’s office or hospital.
By combining world class GE technology and a talented founding team to address an important market need, Drawbridge Health is well positioned to transform diagnostic testing for healthcare stakeholders, testing laboratories, patients and consumers.”
Introducing Dosis - the AI powered dosing platform
Cloud-based platform Dosis uses AI to help patients and clinicians tailor their medication plans. Shivrat Chhabra, CEO and co-founder, tells us how it works.
When and why was Dosis founded?
Divya, my co-founder and I founded Dosis in 2017 with the purpose of creating a personalised dosing platform. We see personalisation in so many aspects of our lives, but not in the amount of medication we receive. We came across some research at the University of Louisville that personalised the dosing of a class of drugs called ESAs that are used to treat chronic anaemia. We thought, if commercialised, this could greatly benefit the healthcare industry by introducing precision medicine to drug dosing.
The research also showed that by taking this personalised approach, less drugs were needed to achieve the same or better outcomes. That meant that patients were exposed to less medication, so there was a lower likelihood of side effects. It also meant that the cost of care was reduced.
What is the Strategic Anemia Advisor?
Dosis’s flagship product, Strategic Anemia Advisor (SAA), personalises the dosing of Erythropoiesis Stimulating Agents (ESAs). ESAs are a class of drugs used to treat chronic anaemia, a common complication of chronic kidney disease.
SAA takes into account a patient’s previous ESA doses and lab levels, determines the patient’s unique response to the drug and outputs an ESA dose recommendation to keep the patient within a specified therapeutic target range. Healthcare providers use SAA as a clinical decision support tool.
What else is Dosis working on?
In the near term, we are working on releasing a personalised dosing module for IV iron, another drug that’s used in tandem with ESAs to treat chronic anaemia. We’re also working on personalising the dosing for the three drugs used to treat Mineral Bone Disorder. We’re very excited to expand our platform to these new drugs.
What are Dosis' strategic goals for the next 2-3 years?
We strongly believe that personalised dosing will be the standard of care within the next decade, and we’re honored to be a part of making that future a reality. In the next few years, we see Dosis entering partnerships with other companies that operate within value-based care environments, where tools like ours that help reduce cost while maintaining or improving outcomes are extremely useful.
What do you think AI's greatest benefits to healthcare are?
If designed well, AI in healthcare allows for a practical and usable way to deploy solutions that would not be feasible otherwise. For example, it’s possible for someone to manually solve the mathematical equations necessary to personalise drug dosing, but it is just not practical. AI in healthcare offers an exciting path forward for implementing solutions that for so long have appeared impractical or impossible.