A5086018329- Reproductive Biology and Fertility
- Assisted Reproductive Technology and Twin Pregnancy
- Sperm and Testicular Function
- Reproductive Health and Technologies
- Ovarian function and disorders
- Biosensors and Analytical Detection
- Prenatal Screening and Diagnostics
- Smart Systems and Machine Learning
- Micro and Nano Robotics
- AI in cancer detection
- Cell Image Analysis Techniques
- Intravenous Infusion Technology and Safety
- Context-Aware Activity Recognition Systems
- IoT and Edge/Fog Computing
- Cerebral Palsy and Movement Disorders
- Forensic Entomology and Diptera Studies
- Neural Networks and Applications
- Microfluidic and Capillary Electrophoresis Applications
- Air Quality and Health Impacts
- SARS-CoV-2 detection and testing
- Animal Behavior and Welfare Studies
- Modular Robots and Swarm Intelligence
- Artificial Intelligence in Healthcare and Education
- COVID-19 diagnosis using AI
- Prosthetics and Rehabilitation Robotics
Harvard University
2017-2025
Brigham and Women's Hospital
2017-2025
Boston University
2021
SASTRA University
2016-2017
This work demonstrates that a low-cost smartphone accessory can be used for home-based male infertility screening.
Deep learning in vitro fertilization is currently being evaluated the development of assistive tools for determination transfer order and implantation potential using time-lapse data collected through expensive imaging hardware. Assistive algorithms that can work with static images, however, help improving access to care by enabling their use images acquired from traditional microscopes are available virtually all fertility centers. Here, we a deep convolutional neural network (CNN), trained...
Zika virus (ZIKV) infection is an emerging pandemic threat to humans that can be fatal in newborns. Advances digital health systems and nanoparticles facilitate the development of sensitive portable detection technologies for timely management viral infections. Here we report a nanomotor-based bead-motion cellphone (NBC) system immunological ZIKV. The presence testing sample results accumulation platinum (Pt)-nanomotors on surface beads, causing their motion H2O2 solution. Then concentration...
To evaluate the consistency and objectivity of deep neural networks in embryo scoring making disposition decisions for biopsy cryopreservation comparison to grading by highly trained embryologists.
CRISPR (Clustered regularly interspaced short palindromic repeats)-based diagnostic technologies have emerged as a promising alternative to accelerate delivery of SARS-CoV-2 molecular detection at the point need. However, efficient translation CRISPR-diagnostic field application is still hampered by dependence on target amplification and reliance fluorescence-based results readout. Herein, an amplification-free CRISPR/Cas12a-based technology for RNA presented using smartphone camera This...
Rapid antimicrobial susceptibility testing is important for efficient and timely therapeutic decision making. Due to globally spread bacterial resistance, the efficacy of antibiotics increasingly being impeded. Conventional antibiotic tests rely on culture, which time-consuming can lead potentially inappropriate prescription up-front broad range use. There an urgent need develop point-of-care platform technologies rapidly detect pathogens, identify right antibiotics, monitor mutations help...
A virus detection method using deep learning–based analysis of smartphone-recorded microchip images without any optical hardware.
A critical factor that influences the success of an in-vitro fertilization (IVF) treatment cycle is quality transferred embryo. Embryo morphology assessments, conventionally performed through manual microscopic analysis suffer from disparities in practice, selection criteria, and subjectivity due to experience embryologist. Convolutional neural networks (CNNs) are powerful, promising algorithms with significant potential for accurate classifications across many object categories. Network...
Digital nucleic acid assays, known for their high sensitivity and specificity, typically rely on fluorescent readouts expensive complex nanowell manufacturing, which constrain broader use in point-of-care (POC) application. Here, we introduce an alternative digital molecular diagnostics, termed dCRISTOR, by seamlessly integrating deactivated Cas9 (dCas9)-engineered micromotors, extraction-free loop-mediated isothermal amplification (LAMP), low-cost bright field microscopy, deep...
Viral hepatitis remains a major global health issue, with chronic B (HBV) and C (HCV) causing approximately 1 million deaths annually, primarily due to liver cancer cirrhosis. More than 1.5 people contract HCV each year, disproportionately affecting vulnerable populations, including American Indians Alaska Natives (AI/AN). While direct-acting antivirals (DAAs) are highly effective, timely accurate diagnosis challenge, particularly in resource-limited settings. The current two-step testing...
Artificial intelligence-enabled ovulation testing on smartphones through the analysis of fern patterns in saliva.
Embryo assessment and selection is a critical step in an vitro fertilization (IVF) procedure. Current embryo approaches such as manual microscopy analysis done by embryologists or semi-automated time-lapse imaging systems are highly subjective, time-consuming, expensive. Availability of cost-effective easy-to-use hardware software for image data acquisition can significantly empower towards more efficient clinical decisions both resource-limited resource-rich settings. Here, we report the...
Deep-learning (DL)-based image processing has potential to revolutionize the use of smartphones in mobile health (mHealth) diagnostics infectious diseases. However, high variability cellphone data acquisition and common need for large amounts specialist-annotated images traditional DL model training may preclude generalizability smartphone-based diagnostics. Here, we employed adversarial neural networks with conditioning develop an easily reconfigurable virus diagnostic platform that...
The fundamental test for male infertility, semen analysis, is mostly a manually performed subjective and time-consuming process the use of automated systems has been cost prohibitive. We have previously developed an inexpensive smartphone-based system at-home infertility screening through automatic rapid measurement sperm concentration motility. Here, we assessed feasibility using similar laboratory in measuring: a) Hyaluronan Binding Assay (HBA) score, quantitative score describing maturity...
Many of the people around us forget to take medication on time. The proposed model smart medical box is a single board computer based assistive device for who suffer with short term memory loss. It an alarm that helps in reminding patients about their medication. use Internet Things (IoT) concepts and health sensing technologies make diagnosis easier convenient doctors as well [1]. This paper presents overview monitoring non-compliance by providing platform closed loop connection between...