Application Provides Discovery, Collaboration, and Business Intelligence Tools
|
By MedImaging International staff writers Posted on 05 Feb 2009 |
Zassi Medical Evolutions (Fernandina Beach, FL, USA) recently announced the launch of e-Zassi an online community, which provides powerful efficiencies to the medical device industry by streamlining diligence, collaboration, and discovery of new medical technologies and industry participants with an exclusive range of intelligent web-based applications.
In development for several years, e-Zassi.com has been designed to extract critical technical- and business-related traits and attributes from technologies, organizations, and individuals within the medical device-specific community. This "business DNA” can then be utilized to increase search/match relevancy and materially enhance success rates and lower costs.
E-Zassi's proprietary Deep DNA (Device Network Attributes) profiling technology captures in-depth and highly relevant search criteria on the proficiencies, preferences, and targeted areas for development of individuals and organizations. The company believes that allowing members to leverage these vital attributes to enable collaboration in the medical device sector will lower costs and create efficiencies; as these capabilities are not typically identified or utilized by existing broad, conventional business networks or search engines.
Available by subscription, e-Zassi members will have 24/7 access to a variety of modules including the world's first Innovation Assessment software platform. This platform allows members to deeply analyze and profile medical technologies via a simple to use question and answer process. Remarkably, the program utilizes no confidential information to generate powerful development and commercially related outputs that are critical to activities such as: technology transfer; business development; market and commercial analysis; due diligence; intellectual property and patent development; and product development and financial planning.
The company recognizes the value provided by the ability to gain insights earlier in the innovation, development, and financing decision process of a new product or technology. Knowledge in areas such as its clinical, regulatory, reimbursement, market, manufacturing, distribution, and sales requirements are critical in helping to ensure successful development and commercialization. The e-Zassi system provides this decision support knowledge in minutes providing great value to innovators, device manufacturers, service providers, venture capital firms, researchers and healthcare providers as they diligence, develop, fund, or provide services for medical technologies.
"The [US]$250 billion global medical device industry invests more than $40 billion annually in new product innovation and development alone. As such, it requires rapid decision-making, comprehensive planning, and increased efficiency in terms of technology due diligence, business networking, and strategic partnering. As veterans from the medical device space ourselves, we know traditional connectivity methods such as conventions, magazine advertising, and even the use of broad, non-medical device online networking sites are not really cost-effective and do not address the very specific technical and business requirements of our industry. We knew it was time to combine the latest in Cloud Computing technology with our powerful new DNA-based assessment and collaboration software platforms to create a vertical search engine dedicated to our specific device industry as existing general search engines are becoming flooded with too much noise,” stated Peter M. von Dyck, e-Zassi's founder and chief executive officer.
Related Links:
Zassi Medical Evolutions
In development for several years, e-Zassi.com has been designed to extract critical technical- and business-related traits and attributes from technologies, organizations, and individuals within the medical device-specific community. This "business DNA” can then be utilized to increase search/match relevancy and materially enhance success rates and lower costs.
E-Zassi's proprietary Deep DNA (Device Network Attributes) profiling technology captures in-depth and highly relevant search criteria on the proficiencies, preferences, and targeted areas for development of individuals and organizations. The company believes that allowing members to leverage these vital attributes to enable collaboration in the medical device sector will lower costs and create efficiencies; as these capabilities are not typically identified or utilized by existing broad, conventional business networks or search engines.
Available by subscription, e-Zassi members will have 24/7 access to a variety of modules including the world's first Innovation Assessment software platform. This platform allows members to deeply analyze and profile medical technologies via a simple to use question and answer process. Remarkably, the program utilizes no confidential information to generate powerful development and commercially related outputs that are critical to activities such as: technology transfer; business development; market and commercial analysis; due diligence; intellectual property and patent development; and product development and financial planning.
The company recognizes the value provided by the ability to gain insights earlier in the innovation, development, and financing decision process of a new product or technology. Knowledge in areas such as its clinical, regulatory, reimbursement, market, manufacturing, distribution, and sales requirements are critical in helping to ensure successful development and commercialization. The e-Zassi system provides this decision support knowledge in minutes providing great value to innovators, device manufacturers, service providers, venture capital firms, researchers and healthcare providers as they diligence, develop, fund, or provide services for medical technologies.
"The [US]$250 billion global medical device industry invests more than $40 billion annually in new product innovation and development alone. As such, it requires rapid decision-making, comprehensive planning, and increased efficiency in terms of technology due diligence, business networking, and strategic partnering. As veterans from the medical device space ourselves, we know traditional connectivity methods such as conventions, magazine advertising, and even the use of broad, non-medical device online networking sites are not really cost-effective and do not address the very specific technical and business requirements of our industry. We knew it was time to combine the latest in Cloud Computing technology with our powerful new DNA-based assessment and collaboration software platforms to create a vertical search engine dedicated to our specific device industry as existing general search engines are becoming flooded with too much noise,” stated Peter M. von Dyck, e-Zassi's founder and chief executive officer.
Related Links:
Zassi Medical Evolutions
Latest Imaging IT News
- New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
- Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
- AI-Based Mammography Triage Software Helps Dramatically Improve Interpretation Process
- Artificial Intelligence (AI) Program Accurately Predicts Lung Cancer Risk from CT Images
- Image Management Platform Streamlines Treatment Plans
- AI-Based Technology for Ultrasound Image Analysis Receives FDA Approval
- AI Technology for Detecting Breast Cancer Receives CE Mark Approval
- Digital Pathology Software Improves Workflow Efficiency
- Patient-Centric Portal Facilitates Direct Imaging Access
- New Workstation Supports Customer-Driven Imaging Workflow
Channels
Radiography
view channel
X-Ray Breakthrough Captures Three Image-Contrast Types in Single Shot
Detecting early-stage cancer or subtle changes deep inside tissues has long challenged conventional X-ray systems, which rely only on how structures absorb radiation. This limitation keeps many microstructural... Read more
AI Generates Future Knee X-Rays to Predict Osteoarthritis Progression Risk
Osteoarthritis, a degenerative joint disease affecting over 500 million people worldwide, is the leading cause of disability among older adults. Current diagnostic tools allow doctors to assess damage... Read moreMRI
view channel
Novel Imaging Approach to Improve Treatment for Spinal Cord Injuries
Vascular dysfunction in the spinal cord contributes to multiple neurological conditions, including traumatic injuries and degenerative cervical myelopathy, where reduced blood flow can lead to progressive... Read more
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read moreUltrasound
view channel
Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
Chronic conditions such as hypertension and heart failure require close monitoring, yet today’s ultrasound imaging is largely confined to hospitals and short, episodic scans. This reactive model limits... Read more
Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
Producing clear 3D images of deep blood vessels has long been difficult without relying on contrast agents, CT scans, or MRI. Standard ultrasound typically provides only 2D cross-sections, limiting clinicians’... Read moreNuclear Medicine
view channel
PET Imaging of Inflammation Predicts Recovery and Guides Therapy After Heart Attack
Acute myocardial infarction can trigger lasting heart damage, yet clinicians still lack reliable tools to identify which patients will regain function and which may develop heart failure.... Read more
Radiotheranostic Approach Detects, Kills and Reprograms Aggressive Cancers
Aggressive cancers such as osteosarcoma and glioblastoma often resist standard therapies, thrive in hostile tumor environments, and recur despite surgery, radiation, or chemotherapy. These tumors also... Read more
New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read moreGeneral/Advanced Imaging
view channel
3D Scanning Approach Enables Ultra-Precise Brain Surgery
Precise navigation is critical in neurosurgery, yet even small alignment errors can affect outcomes when operating deep within the brain. A new 3D surface-scanning approach now provides a radiation-free... Read more
AI Tool Improves Medical Imaging Process by 90%
Accurately labeling different regions within medical scans, a process known as medical image segmentation, is critical for diagnosis, surgery planning, and research. Traditionally, this has been a manual... Read more
New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents
Medical imaging technologies face ongoing challenges in capturing accurate, detailed views of internal processes, especially in conditions like cancer, where tracking disease development and treatment... Read more
AI Algorithm Accurately Predicts Pancreatic Cancer Metastasis Using Routine CT Images
In pancreatic cancer, detecting whether the disease has spread to other organs is critical for determining whether surgery is appropriate. If metastasis is present, surgery is not recommended, yet current... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read morePatient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more







