FloCync has developed an innovative menstrual blood collection system with integrated filtration technology that enables non-invasive health monitoring and diagnostics research. Our novel solution combines a specially designed menstrual cup with dual-membrane filtration and a “click-it” vacutainer mechanism that preserves critical biomarkers by separating samples immediately at collection, before clotting occurs.
Initially targeting research institutions and clinical trials, FloCync standardizes menstrual blood collection to accelerate biomarker discovery for conditions like endometriosis and PCOS. The goal of the project is to address diagnostic delays affecting millions of women globally.
Beyond research applications, FloCync will expand to consumer diagnostics, empowering women to monitor chronic conditions at home through lateral flow assays, like pregnancy tests but for disease biomarkers. By transforming a discarded biological fluid into valuable health data, FloCync is building the infrastructure for the next era of women’s health innovation.

We propose a dual-layer stimulant gum that mimics the taste of betel nut without its harmful effects. Targeting India’s $6.1B areca market, our product replaces toxic ingredients with safe alternatives like magnesium hydroxide, caffeine, and ginseng. It offers a culturally familiar, health-conscious option to help users reduce dependence on betel nut.

Characterizing soft tissue mechanics is of interest across biomedical disciplines, including in regenerative medicine and prosthetics development. In the context of skin cancer, there is a well-elucidated relationship with tissue stiffness; however, mechanical properties of skin are not factored into skin cancer screening and diagnostics because of a lack of established benchmark values for skin stiffness. Existing technologies for soft tissue mechanical characterization are ill-suited for assessing the elastic modulus of potential skin cancers—they are ex vivo, do not provide the resolution needed for skin lesions, and/or are not sufficiently maneuverable for in situ use. Here is reported a proof-of-concept for a novel device for the measurement of skin mechanics in situ, which is handheld, portable, and operates on the scale of skin lesions. Testing on polymers shows the device is able to reliably differentiate between materials that have elastic moduli in the range of human epidermal/dermal tissue.

Neurological disorders impact a large percentage of the global population and are a vast area of research in the clinical field. However, state of the art diagnostic measures such as MRI and CT scans are invasive and expensive. Saccades, rapid fixations in eye movements, are a promising but underutilized non-invasive biomarker for neurological abnormalities due to limited publicly available data and privacy concerns. To address this, we developed a pose-guided video generation model that produces synthetic saccades of three types: normal, bilateral hypermetria, and bilateral hypometria that mimic real eye movement patterns observed in clinical settings. We trained an MViT-V2 video classification model on the synthetic data as a baseline and tested its performance on clinical saccade data. Our approach demonstrates the potential of synthetic data to enable accurate and scalable saccade-based diagnostics, reducing the dependency on invasive imaging.