Bioscan Research Pvt. Ltd.
BioScan Research is leveraging deep technology in optics, electronics, mechanics, and software to develop, test, manufacture, and commercialize affordable medical devices for early detection of life-threatening diseases non-invasively. Their mission is to bring hospital-grade diagnosis to point-of-care settings, enabling rapid, non-invasive detection of intracranial hemorrhages and traumatic brain injuries, thereby improving patient outcomes and reducing healthcare costs.
Industries
Nr. of Employees
small (1-50)
Bioscan Research Pvt. Ltd.
B/301, Shivalik Plaza, Dr. Vikram Sarabhai Marg, Near IIM, Ambawadi, Ahmedabad-380015, Gujarat, India
Products
Portable point-of-care intracranial hemorrhage detector (NIRS-based)
A handheld/portable NIR diffuse reflectance device that non-invasively screens for intracranial bleeding by measuring asymmetry in light absorption and applying ML-based classification to generate a rapid result at the point of care.
Portable point-of-care intracranial hemorrhage detector (NIRS-based)
A handheld/portable NIR diffuse reflectance device that non-invasively screens for intracranial bleeding by measuring asymmetry in light absorption and applying ML-based classification to generate a rapid result at the point of care.
Services
Custom engineering and deployment of portable non-invasive diagnostic devices and accessories for first-response and injury-prone sites.
Custom engineering and deployment of portable non-invasive diagnostic devices and accessories for first-response and injury-prone sites.
Expertise Areas
- Optical neuro-monitoring (NIR diffuse reflectance)
- Machine learning for biosignal classification
- Point-of-care medical device design
- Clinical validation and multi-center usability studies
Key Technologies
- Near-infrared spectroscopy (NIRS)
- Diffuse reflectance spectroscopy
- Machine learning classification algorithms
- Cloud-based data storage and web/app interfaces
News & Updates
Brain injury has become a silent epidemic and has very low survival and recovery rates because of inaccurate triaging, especially in absence of symptoms. Therefore, a clinical assessment tool for quick onsite detection of intracranial hematoma is necessary.
We report results of a newly developed portable near-infrared spectroscopy (NIRS) based point-of-care device CEREBO® to detect traumatic intracranial hematoma (TICH).
Edema, characterized by brain swelling, is a common response observed in various brain injuries. Timely detection of edema is crucial to mitigate the associated risks and improve patient care.
Healthcare-associated infections (HAIs) are a global concern affecting millions of patients, requiring robust infection prevention and control measures.
This study assessed machine learning powered Near-infrared spectroscopy based (mNIRS) device's usability and human factor ergonomics in four distinct healthcare provider groups.
To clinically validate machine learning-powered near-infrared spectroscopy (mNIRS) based Intracranial Tissue Optical Index (ITOI) device in detecting traumatic intracranial hematomas (ICH) at different time intervals post-injury.
Brain injury has become a silent epidemic and has very low survival and recovery rates because of inaccurate triaging, especially in absence of symptoms. Therefore, a clinical assessment tool for quick onsite detection of intracranial hematoma is necessary.
We report results of a newly developed portable near-infrared spectroscopy (NIRS) based point-of-care device CEREBO® to detect traumatic intracranial hematoma (TICH).
Edema, characterized by brain swelling, is a common response observed in various brain injuries. Timely detection of edema is crucial to mitigate the associated risks and improve patient care.
Healthcare-associated infections (HAIs) are a global concern affecting millions of patients, requiring robust infection prevention and control measures.
This study assessed machine learning powered Near-infrared spectroscopy based (mNIRS) device's usability and human factor ergonomics in four distinct healthcare provider groups.
To clinically validate machine learning-powered near-infrared spectroscopy (mNIRS) based Intracranial Tissue Optical Index (ITOI) device in detecting traumatic intracranial hematomas (ICH) at different time intervals post-injury.