Santosh Iyer’s Post

Hello everyone 👋 Happy to share you'll another article about nano robots. Recently I came across these nanorobots, So I browsed what they were and how they function Seriously these nanorobots are taking the world to next level. These nanorobots are used in various field for various purpose. Currently they are used to kill cancer cells and they can recognise 12 different types of cancer cells and kill them. Isn't this intresting? I basically was shocked by this so I wanted to learn more about it. So as a first step I learnt what are nanorobots and how they work. The size of the nano robots is reduced to microscopic level to perform a task in very small spaces. However, it is only in the developmental stage. The future prospects of it are much expected in the medical field: Nano-robots in blood stream to perform small surgical procedures, to fight against bacteria, repairing individual cell in the body. It can travel into the body and once after the job performed it can find its way out. Chinese scientists have created the world's first autonomous DNA robots to combat cancer tumours. Potential uses for nanorobotics in medicine include early diagnosis and targeted drug-delivery for cancer, biomedical instrumentation, surgery, pharmacokinetics, monitoring of diabetes, and health care. #snsintitutioms #snsdesignthinkers #designthinking

For Melanoma Diagnosis- Mover over AI !, already? Re Melanoma diagnosis without a biopsy- We have heard about AI enabled image detection, confocal microscopy, smartphone apps, conventional neural networks, binary image analysis, etc. etc.!! Well, biosensors add the ability to identify bio markers like DNA, enzymes like tyrosinase, and a host of other bio markers assessed on the lesion and in blood using wearable / portable devices and combined with AI technology gives you a more accurate diagnosis than a biopsy?!, Well FYI Biosensor researchers- for us clinicians, reading this article gives a sense this is definitely worth waiting for! Please see attached the article, another Excellent one , this from UK & China researchers. Congratulations to the authors!, Thank you for keeping us excited for the future! Eleni Chatzilakou @ Yubin Hu @ Nan Jiang Ali Yetisen @ Biosensors and Bioelectronics Melanoma Canada Melanoma Research Foundation Melanoma Institute Australia Melanoma International Foundation # collaboration # future # biosensors # melanoma

A Remarkable Breakthrough in Medical Technology! Medicine, computer science, and engineering expertise came together to create this marvel. 💡 The robot's use of AI and laser-etched, flexible materials to steer through lung tissue is like something out of science fiction. 🚀 This is a game-changer for lung cancer diagnosis and treatment. UNC -Chapel Hill and Vanderbilt University researchers are making strides in the fight against lung cancer with an incredible bendy robot! 🤯 Their latest achievement, published in Science Robotics, demonstrates how this autonomous robot can navigate deep within lung tissue, avoiding vital structures, to reach those elusive tumors. https://lnkd.in/ghKSvngA

🚀 Unveiling BrainBridge: The Pioneer in Head Transplant Innovation! 🧠 Imagine a future where severe medical conditions like terminal cancer, paralysis, or spinal cord injuries can be treated with head transplants. Introducing BrainBridge, a groundbreaking concept using cutting-edge robotics and AI to ensure seamless outcomes and faster recoveries. 💡 By leveraging high-speed robotic systems, BrainBridge eliminates errors, preserves brain cells, and offers hope to individuals seeking a fully functional body while retaining consciousness and memories. 🤖 Our revolutionary integrated robotics platform enables simultaneous surgeries on two bodies, setting a new standard for precision and efficiency. 🔬 Scientific precision meets human compassion as BrainBridge redefines what's possible in medical innovation. Ready to step into the future with us? Learn more about Brain Bridge at https://brainbridge.tech/ #HeadTransplant #MedicalInnovation #BrainBridgeJourney

In today's MAD Minute: In this week's deep dive, we're exploring the fascinating intersections of technology and humanity. Discover how artificial intelligence is revolutionizing the medical field, potentially slashing the time needed to read breast cancer scans in half. Then, we'll delve into the counterintuitive world of robotics, where initial implementation can cause company profits to take a hit. Finally, we'll examine the surprising lessons swarming animals can teach us about improving human and AI decision-making. Buckle up and prepare to challenge your perceptions. Continue reading: https://lnkd.in/gfNDb4Gy Subscribe to MAD Minute: https://lnkd.in/gZw7pqNm

This study from Singapore shows that AI-driven software can help to detect a lesion, do the segmentation, and beyond that, suggest the optimal path for lung biopsy. And it works well (I tried). This is a very attractive development with the potential to standardize IR very soon (in addition to advanced imaging and robotics). Congrats to the authors. #interventionalradiology #AI3initiative

Check out this fantastic interview with IMAI MedTech's CEO, Francesca Catto! Learn more about what the current state of histology is -- and how IMAI wants to empower tissue researchers and pathologists with a novel approach. #3DHistology #Startup #Innovation #betterdiagnosis

I will be attending #CIRSE2023 in #copenhagen . come by and lets discuss #interventionalradiology , #interventionaloncology & how #medicalrobotics can impact your workflow for better #patientoutcomes . #medicaldevice #innovationinhealthcare

My MSc research introduces a new #generativeai diffusion architecture that can generate distinctly different, but related 3D scans or images from random noise, without sacrificing generation quality or risk memorising training data like traditional multichannel-output networks. In the medical field, for example, we can now create completely synthetic CT and PET scans of cancer patients – these patients don't actually exist, yet the scans come with accurately-labeled tumour locations which allow training of more advanced #cancerdetection / segmentation networks than is possible with the original data alone. (Preliminary results are shown below in a generation animation). #ai #airesearch #ddpm #cancerresearch