FIRST UNIVERSAL AI BIO-NET INFRASTRUCTURE: The AI Bio-Net is a global network of mobile devices empowered by Engineering Physics and reinforced by A.I. algorithms which results in-place and online detection of biomolecules with a continuous screening just in seconds, and eliminates biological kit & specialized personnel requirements in Biotech Industry. We solved indirectness and digitalization problems which are main bottlenecks of Biotechnology, initiating first Bio-Blockchain environment.
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Axomove
Founded by a physiotherapist, Axomove is an e-health startup which intends to improve the rehabilitation and prevention of all physical conditions, from neurology diseases, orthopedic surgery and traumatology in rehab centers and hospitals to musculoskeletal disorders (MSK) at the workplace.
Cognuse
10-40% of patients suffer an adverse event (AEs) when admitted to hospital. One of the causes of preventable AEs include failure to adhere to clinical protocols. CoNurse is a guideline adherence platform for improving quality of care and reducing avoidable medical errors. CoNurse Mobile Application provides step-by-step instructions and makes nursing protocols easily actionable and accessible at the point of care. CoNurse CMS allows institution specific creation and management of procedures.
Cogant Consulting
Cogant™ Consulting is a Healthcare domain focused service provider. We help our clients to grow through solutions in the area of Market Entry/Business Development/Strategic interventions in South Asia and Middle East Asia.
BrainTrip
BrainTrip has developed a rapid, scalable screening test for dementia. We use existing EEGs to measure brain waves of a person for 5 minutes and then analyze the data using our proprietary algorithms. The end-result is a biomarker for cognitive impairment, which indicates the likelihood that the person is already suffering or will suffer from dementia in the next few years.
MedaPlus
MedaPlus is an artificial intelligence (AI) assisted software platform, delivering predictive diagnostics for respiratory signals driven by explainable AI. Respiratory conditions are a leading cause of death worldwide and generate a significant burden for public health systems. Early diagnosis and routine monitoring of patients with respiratory conditions are important for timely interventions. MedaPlus covers the entire process from remotely accessing stethoscope signals to AI driven results.
Patient Journey App
The Patient Journey App enables healthcare providers to offer the best possible care for their patients at every step of their treatment. Educate your patients through an interactive timeline with the right patient information at the right time and achieve shared decision making with the patient. Introduce precision medicine by monitoring patients 1:1 to collect important patient data e.g. pain scores, medicine regiment adherence, healing of wound, and PROMs-data throughout the treatment.
Droice Labs
Understanding clinical data is a complex process because most information is hidden in long free texts, and it’s extremely time-consuming to find the relevant information when needed. Our artificial intelligence (AI) solution, Hawk, can sift through data from disparate patient data sources (EMRs, labs, claims, pharmacies etc) to generate high-resolution snapshots of patients and help key healthcare stakeholders make better patient care decisions in significantly lesser time.
DoctoWell
DoctoWell provides fully integrated software solutions that enable automation of healthcare clinic routine administrative tasks. The company’s mission is to improve patient-specialist interactions by providing clinics with state-of-the-art software that saves time and minimizes costs.
UPOlife
UPOlife is fighting cardiovascular diseases, the #1 cause of death in the world taking 18 million lives each year. We focus on atrial fibrillation and 20 more arrhythmia diagnosis and condition management. With an affordable, compact and medical-grade ECG/EKG monitor for remote care, we assist healthcare providers in detecting various heart abnormalities. Patients feel safe and monitored, at the same time doctors are saving time with automated reporting and risk stratification.