Portable Diagnostic Device Development

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Summary

Portable diagnostic device development involves creating small, easy-to-use tools that can quickly detect diseases or health conditions outside traditional laboratories or hospitals. These devices make medical and agricultural testing more accessible, affordable, and timely, especially in remote or resource-limited areas.

  • Focus on accessibility: Design devices that function with minimal training and work in environments where advanced equipment or specialists aren't available.
  • Integrate smart technology: Use smartphone connectivity and AI guidance to simplify testing and interpretation for users who may not have medical or technical expertise.
  • Prioritize rapid results: Create systems that deliver diagnostic answers within minutes to support faster decision-making and early intervention.
Summarized by AI based on LinkedIn member posts
  • View profile for Jonathan Govette

    CEO of a AI Lung Cancer Startup | Engineer | Almost Became a Doctor | 3x Health Tech Founder | Startup Mentor - Follow to share what I’ve learned along the way.

    14,114 followers

    A rural FQHC patient needs to drive 65 miles for a simple ultrasound. 🚗 This happens thousands of times daily across America, with critical consequences: 🕒 Delayed diagnoses lead to poorer outcomes 💰 Transportation barriers cause missed appointments 🏥 Limited specialist access creates care gaps But AI-powered handheld ultrasound is changing everything in 2025. These pocket-sized devices, weighing just 300 grams, are bringing diagnostic capabilities directly to patients in underserved communities at a fraction of traditional costs. The clinical impact is profound: 🔍 Enables immediate bedside diagnosis where traditional imaging is unavailable ⏱️ Reduces diagnostic waiting times from weeks to minutes 💵 Saves over $1,000 per patient by eliminating unnecessary referrals and tests 🩺 Improves diagnostic confidence even for non-specialist providers One FQHC in Kentucky implemented these devices across their rural clinics and documented: • 40% reduction in patient transportation costs • 60% decrease in diagnostic delays • 35% increase in early-stage condition detection • Significant improvements in maternal health outcomes through timely monitoring The technology is remarkably accessible: Devices like the Butterfly iQ3 cost approximately $2,500-3,900 (compared to $20,000-50,000 for traditional machines) and connect to standard smartphones or tablets. AI integration provides real-time guidance, enabling primary care providers and community health workers to perform scans previously requiring radiologic specialists. For FQHCs with limited radiology access, these devices offer extraordinary ROI through: 1. Reduced referral costs 2. Improved chronic disease monitoring 3. Enhanced prenatal care capabilities 4. Earlier detection of time-sensitive conditions Medicare now reimburses for many point-of-care ultrasound procedures, making implementation financially sustainable even for resource-constrained centers. As one rural physician explained: "We're diagnosing conditions weeks earlier than before. For our patients without reliable transportation, this technology is literally lifesaving." Sustainable implementation requires thoughtful planning: • Targeted training programs for providers • Clear clinical protocols for appropriate use • Data integration with existing EHR workflows • Quality assurance through telehealth partnerships Ultrasound at the point of care is proving that technology doesn't have to widen health disparities, it can actively eliminate them. How is your organization addressing diagnostic access barriers? What technologies have made the biggest impact? Comment below.

  • View profile for Tina Strauss, PhD

    R&D Scientist | Genome Editing 🧬| Molecular Biology 🧪| Biotechnology | CGT | RNAi-Biopesticides | Research Scientist | Project Management | Mentor | RTP NC | Hiking&Photography |🌱Plant enthusiast 🌿| Let's connect

    2,896 followers

    🌿 Early Disease Detection in the Field? There's an App for That ! 📱🧬 - Potato late blight, caused by Phytophthora infestans, remains one of the most destructive plant diseases, with historical impact (e.g., Irish Famine) and major global agricultural losses. - Traditional detection methods like PCR and LAMP are sensitive but require lab infrastructure, skilled personnel, and long processing times and limiting their use in the field. - The need for fast, specific, on-site diagnostic tools is important for early-stage detection before symptoms appear, to guide timely intervention.   In this preprint from a team from China Agricultural University shows how they developed a smartphone-integrated, CRISPR-based diagnostic system that uses: - Microneedle patches for 1-minute DNA sampling - RPA (Recombinase Polymerase Amplification) – a rapid, isothermal DNA amplification method –> increases the amount of target DNA - CRISPR-Cas12a for sensitive, highly specific detection -> Cas12a finds it, binds it, and will be cutting up nearby probes. - A portable fluorescence imaging device powered by a smartphone -> more fluorescence = more target DNA = positive sample.   Detection was possible up to two days before visible symptoms appeared. The system identified P. infestans with no cross-reactivity and detected as little as 2 pg/μL of DNA, comparable with lab-based PCR. Advantages of this approach - Who needs a lab? The entire process - from leaf sampling to result interpretation - takes under 90 minutes and costs less than $110 USD, making it accessible for farmers and low-resource environments. Rapid, field-deployable, Low cost This isn't just about potatoes. Combining molecular biology, low-cost engineering, and mobile technology can transform plant disease diagnostics across agriculture. Think "lab-on-a-leaf," powered by your phone - Smartphone-integrated, real-time results. Read the full paper: https://lnkd.in/eU2JdzsR #CRISPR #RPA #PlantHealth #PrecisionAgriculture #AgTech #SyntheticBiology #CropProtection #MolecularDiagnostics

  • “UMass Amherst researchers have pushed forward the boundaries of biomedical engineering one hundredfold with a new method for DNA detection with unprecedented sensitivity. "DNA detection is in the center of bioengineering," says Jinglei Ping, lead author of the paper that appeared in Proceedings of the National Academy of Sciences. Ping is an assistant professor of mechanical and industrial engineering, an adjunct assistant professor in biomedical engineering and affiliated with the Center for Personalized Health Monitoring of the Institute for Applied Life Sciences. "Everyone wants to detect the DNA at a low concentration with a high sensitivity. And we just developed this method to improve the sensitivity by about 100 times with no cost." With traditional detection methods, he says, "The challenge is basically finding the needle in a haystack." There are lots of molecules present in a sample that aren't the target DNA that can interfere with the result. That's where this method is different. The test sample is put within an alternating electric field. Then, "We let the DNA dance," he says. "When the strands of DNA dance, they have a specific oscillation frequency." Researchers can then read samples to see if there is a molecule moving in a way that matches the movement of the target DNA and easily distinguish it from different movement patterns. This even works when there is a very low concentration of the target DNA. This new method has huge implications for speeding up disease detection. First, because it is so sensitive, diagnoses can happen at earlier stages of a disease progression, which can greatly impact health outcomes. Also, this method takes minutes, not days, weeks or months, because it's all electric. "This makes it suitable for point of care," he says. "Usually, we provide samples to a lab and they can provide the results quickly or slowly, depending on how fast they go, and it can take 24 hours or longer." Another benefit: it's portable. Ping describes the device to be similar in size to a blood sugar test tool, which opens the doors to improvements in health on a global scale. "It can be used at places where resources are limited." Ping is excited about the breadth of possible applications for this discovery, saying, "The nano-mechanoelectrical approach can be also integrated with other bioengineering technologies, like CRISPR, to elucidate nucleic acid signaling pathways, comprehend disease mechanisms, identify novel drug targets and create personalized treatment strategies, including microRNA-targeted therapies." Xiaoyu Zhang, a graduate research assistant from Ping Lab, will deliver an oral presentation relevant to this study at the Biomedical Engineering Society annual meeting on October 13, 2023 in Seattle, WA.” https://lnkd.in/g9Cjgv46

  • View profile for Donna Morelli

    Data Analyst, Science | Technology | Health Care

    3,547 followers

    University of Texas El Paso (UTEP) Researchers Develop Low-Cost Microfluidic Device that Detects Cancer in an Hour. October 24, 2024 Excerpt: “Our new biochip is low-cost — just a few dollars — and sensitive, will make accurate disease diagnosis accessible to anyone,” said XiuJun (James) Li, Ph.D., a UTEP professor of chemistry and biochemistry. “It is portable, rapid and eliminates need for specialized instruments.” The microfluidic device can perform multiple functions using very small amounts of fluids. The device uses an innovative, fabricated paper designed in a ‘polymer-pond’ structure in which patient blood samples are introduced into tiny wells. The paper captures cancer protein biomarkers within blood samples in just a few minutes. The paper subsequently changes color, and the intensity of the color indicates the type of cancer detected and disease progression. Note: Li explained the most commonly used commercial method of cancer biomarker detection, ELISA, requires costly instrumentation and can take twelve hours or longer to process a sample. This delay is heightened in rural areas in the U.S. or developing countries where patient samples must be transported to larger cities with specialized instruments. “If you can detect biomarkers early, before cancer spreads, you increase a patients’ chance of survival,” Li said. “Delays in testing, in regions that do not have access to expensive tools and instruments, can be very bad for a patient’s prognosis.” Research has focused on prostate and colorectal cancers, but Li said the method devised could be applicable to a wide variety of cancer types. According to study results, the device is also about 10 times more sensitive than traditional methods without using specialized instruments. The device can detect cancer biomarkers present in smaller quantities, typical of cancer in early stages. A less sensitive device may not pick up on the smaller quantities, Li said. The prototype will need to be finalized and tested on patients in clinical trial, which could take several years, prior to final review, assessment and approval by US Food and Drug Administration (FDA) for use by physicians. Refer to enclosed announcement for further information and direct link to journal Lab on a Chip (2024). A paper-in-polymer-pond (PiPP) hybrid microfluidic microplate for multiplexed ultrasensitive detection of cancer biomarkers† Sanjay S. Timilsinaa  and  XiuJun Li https://lnkd.in/e6rdy25P

  • View profile for Kiran Mazumdar Shaw
    Kiran Mazumdar Shaw Kiran Mazumdar Shaw is an Influencer

    Chairperson, Biocon Group

    1,074,792 followers

    ICMR-MDMS, AIIMS Bhopal, NIMHANS Bengaluru and Bioscan Research have jointly developed a hand-held brain scanning device #CEREBO which can detect intracranial bleeding and edema within minutes.   The device has already passed clinical validation and has received approval from the Drugs Controller General of India (DCGI) as well.   Based on infrared waves technology, CEREBO is non-invasive #diagnostics tool which can be simply put over various parts of the head of the patients who have suffered brain injuries to detect internal bleeding.   This is a very important development for a country like #India where access to healthcare remains out of bounds or limited for people, specially those living in rural and far-flung areas where facilities like CT scans or MRI are often not available.   Researchers say even CEREBO is not meant to replace CT scans, however, it can prove beneficial in cases where CT scans are unavailable to study deep tissues non-invasively and bring hospital-grade diagnosis to the point of care.   https://lnkd.in/gVP2wuae

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