At ParkiNose, our mission is simple but powerful: to give people the chance to know earlier. Parkinson’s disease often begins quietly, long before tremors or movement changes appear. By the time symptoms become visible, much of the underlying neurological damage has already occurred. We believe that people deserve better, deserve earlier answers, earlier support, and earlier hope. ParkiNose is developing a non-invasive technology that can detect subtle scent changes linked to Parkinson’s disease years before traditional diagnosis. Using advanced sensor technology and artificial intelligence, we aim to transform groundbreaking scientific discoveries into a practical tool that can help physicians identify risk at the earliest possible stage. Early knowledge empowers informed decisions, closer monitoring, and access to emerging therapies. Our mission is to shift the timeline of Parkinson’s diagnosis, so patients and families are not reacting late, but preparing early.
We envision a future where Parkinson’s disease is detected before it silently progresses. Imagine a world in which a simple, painless test could reveal early warning signs, long before daily life is affected. A world where families are not blindsided by a diagnosis, but instead supported by proactive care, targeted research, and timely intervention. ParkiNose seeks to help create that future. By harnessing the body’s own biochemical signals, changes in scent that occur years before symptoms, we aim to make early detection accessible and routine. Our long-term vision extends beyond Parkinson’s disease. We believe that olfactory biomarkers may open a new frontier in how many neurological and systemic diseases are identified. Early detection changes everything: treatment planning, research participation, and quality of life. Our vision is not just technological innovation, it is a shift from late recognition to early understanding.
Parkinson’s disease does not begin with a tremor. It begins quietly, invisibly. Scientific research shows that by the time movement symptoms appear, significant loss of dopamine-producing neurons has already taken place. This means that for many individuals, the opportunity for early intervention has already passed before diagnosis even occurs. At the same time, growing evidence reveals that Parkinson’s disease changes the body’s scent profile years in advance. A small number of individuals have even been able to recognize the disease by smell alone, long before medical confirmation. Yet today, this insight is not routinely translated into clinical care. Every year without early detection tools is a year when potential therapeutic windows may be missed. The urgency is clear: we must move diagnosis earlier. ParkiNose exists to help close that gap, so the future of Parkinson’s care begins sooner, not later.
Highly Sensitive and Selective Zinc-Based Metal–Organic Framework Derivatives Gas Sensors for Trace H2S Detection
Optimized Gas Sensor Array with AI for Distinguishing and Classifying Similar Odorants
Machine learning-enabled graphene-based electronic olfaction sensors and their olfactory performance assessment
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At ParkiNose, our mission is simple but powerful: to give people the chance to know earlier. Parkinson’s disease often begins quietly, long before tremors or movement changes appear. By the time symptoms become visible, much of the underlying neurological damage has already occurred. We believe that people deserve better, deserve earlier answers, earlier support, and earlier hope. ParkiNose is developing a non-invasive technology that can detect subtle scent changes linked to Parkinson’s disease years before traditional diagnosis. Using advanced sensor technology and artificial intelligence, we aim to transform groundbreaking scientific discoveries into a practical tool that can help physicians identify risk at the earliest possible stage. Early knowledge empowers informed decisions, closer monitoring, and access to emerging therapies. Our mission is to shift the timeline of Parkinson’s diagnosis, so patients and families are not reacting late, but preparing early.
We envision a future where Parkinson’s disease is detected before it silently progresses. Imagine a world in which a simple, painless test could reveal early warning signs, long before daily life is affected. A world where families are not blindsided by a diagnosis, but instead supported by proactive care, targeted research, and timely intervention. ParkiNose seeks to help create that future. By harnessing the body’s own biochemical signals, changes in scent that occur years before symptoms, we aim to make early detection accessible and routine. Our long-term vision extends beyond Parkinson’s disease. We believe that olfactory biomarkers may open a new frontier in how many neurological and systemic diseases are identified. Early detection changes everything: treatment planning, research participation, and quality of life. Our vision is not just technological innovation, it is a shift from late recognition to early understanding.
Parkinson’s disease does not begin with a tremor. It begins quietly, invisibly. Scientific research shows that by the time movement symptoms appear, significant loss of dopamine-producing neurons has already taken place. This means that for many individuals, the opportunity for early intervention has already passed before diagnosis even occurs. At the same time, growing evidence reveals that Parkinson’s disease changes the body’s scent profile years in advance. A small number of individuals have even been able to recognize the disease by smell alone, long before medical confirmation. Yet today, this insight is not routinely translated into clinical care. Every year without early detection tools is a year when potential therapeutic windows may be missed. The urgency is clear: we must move diagnosis earlier. ParkiNose exists to help close that gap, so the future of Parkinson’s care begins sooner, not later.
Highly Sensitive and Selective Zinc-Based Metal–Organic Framework Derivatives Gas Sensors for Trace H2S Detection
Optimized Gas Sensor Array with AI for Distinguishing and Classifying Similar Odorants
Machine learning-enabled graphene-based electronic olfaction sensors and their olfactory performance assessment
An effective formaldehyde gas sensor based on oxygen-rich three-dimensional graphene
