DeepSpin’s Post

The Fascinating World of Biomedical Engineering Ever wondered how pacemakers keep hearts beating, prosthetic limbs allow people to walk again, or diagnostic imaging tools detect diseases early? The answer lies in the innovative field of biomedical engineering! Biomedical engineers are the true superheroes of the medical world. They combine engineering principles with biological and medical sciences to develop technological solutions that improve healthcare and save lives. It's a dynamic field that blends cutting-edge technology with the complexities of the human body. Some of the exciting areas in biomedical engineering include: 1. Designing artificial organs and tissues to replace damaged or failed body parts 2. Creating neural interfaces that allow people with paralysis to control devices with their minds 3. Engineering robotic surgical systems with unparalleled precision 4. Developing drug delivery systems that target treatments to specific cells or tissues But the work of biomedical engineers goes far beyond the latest high-tech gadgets. They also play a crucial role in improving diagnostic tests, enhancing medical imaging, and making healthcare more accessible and affordable for all. So, the next time you see a patient walking with a bionic limb or a doctor using a cutting-edge surgical robot, remember the brilliant biomedical engineers behind the scenes, working tirelessly to make the impossible, possible. #BiomedicalEngineering #MedicalTechnology #Innovation #Healthcare #Engineering #FutureOfMedicine

I've recently begun some #hiring for Vista.ai's engineering team and am back in the weeds with technical recruiting. I'm looking for #researchengineer #appliedscientist #MLengineer type folks who are interested in working on cutting edge MRI technology. We're talking Python, C++, TensorFlow, Pytorch, image processing and reconstruction, pulse sequence, etc. Vista.ai developed a "one-click MRI" / operating system for MRI machines that dramatically cuts down on the time to scan, reduces image quality variability, and reduces the need for highly trained MRI technicians (of which there's a huge dearth). They started at the heart of things (see what I did there?) with cardiac imaging ❤️ and have multiple FDA approvals. Prostate, brain, spine and more are around the corner. One thing I'm already noticing and am super excited about is the number of superstar women / female-identifying leaders* in this field! Some 🤩 ⭐ I'm discovering... - Parastou Eslami, recently published in Journal of American Society of Echocardiography and a consultant at NASA - Kimberly Powell, catch her speaking at #GTC and #JPM - Teodora Szasz, leading teams to use ML for heritage preservation through detection of archeological sites in Afghanistan, predicting oxygen support for COVID-19 patients, detecting prostate cancer, +++ - Luoluo Liu, making wearables for chronic and infectious respiratory disease detection and prediction - Alyssa Torjesen, creating next generation of image guided therapy devices that might save your life one day *Apologies in advance for assuming gender- for the record I don't know any of these folx. Know of any amazing talent or sources for talent? Best Biomedical Eng PhD programs (besides Stanford 😆)? Let me know in the comments please!

It was a good weekend read. I don't agree with this article 100%, but it is always good to be open-minded and know the other perspectives and logic. One (unsolicited)piece of advice I have for young people: if you want to decide on which job to take, understanding how a company's 3-5 years, then 10-20 years financial horizon is a wise move. Taking a job is equivalent of #investing in a company, be that #artificialintelligence #3Dbioprinting or #Radiology Your job selection is a form of #bet, like it or not

🌟 Meet Our Stellar Fellow at Acer Medical!🌟 SL CHUNG (AI Software Engineer/ PhD. Candidate)Ellrin Chung Reason for joining Acer Medical: During the interview and discussions with the supervisor, I was highly impressed and felt a strong resonance with my expertise from the research institute. Moreover, at that time, VeriSee DR had just obtained the first TFDA license for ophthalmic smart medical devices in Taiwan. It was astonishing to see Acer, known for its laptops, successfully embark on such a side project. I found it incredibly cool and decided to join. Professional expertise: Specializing in medical image analysis and algorithm development, including building and optimizing image segmentation models and physician annotation software. Presented research findings during doctoral studies. Perspectives on AI Application in Healthcare: In the face of Taiwan's increasingly serious aging population, maintaining a certain level of medical quality while coping with the rising dependency ratio is a challenge that the entire nation must address seriously. While we may not be able to rely solely on AI for patient treatment, AI can certainly serve as an assistant and support for healthcare professionals, allowing each healthcare worker to focus more on patient care within limited time constraints. Interests: Philosophy (Existentialism, Philosophy of Language), Writing (Essays), Theater (Stage plays, Peking Opera, Kunqu), Computer Vision, Cooking, Mixology. Life motto: Humor, Honesty, Reflection, and Being Well-fed. #MeetOurStellarFellowatAcerMedical

Microsecond scale medical image processing in 3D without using GPU accelerators? Yes, that is possible. Here is real time organ classification https://lnkd.in/gVKzBrMs

High-Speed Cameras in Medical Research?  Yep, medical research, instruments, biomedical engineering, and high-speed cameras are always useful.  Working in microfluidics? Medical devices? Read below for an excellent application story. Our friends at Vision Research are excited to announce one of their case studies was recently published in Medical Design Briefs. It describes how Cytovale®, a life sciences technology company, used a Phantom high-speed imaging system, advanced microfluidic techniques and machine learning algorithms to develop the Intellisep® test — a commercially available medical device that detects sepsis early. Read the case study here: https://lnkd.in/dcw7ityH #highspeedimaging #medical #medicaldevice #microfluidics #machinelearning

A team of doctors and scientists at a medical device company wanted to develop a desktop application executed on special computers that assists a surgeon during an operation by inserting an implant into the patient’s brain.   Lacking an internal #software team, they turned to us, a trusted partner in Remote In-Sourcing. A specialized team of engineers took on the challenge of creating a user-friendly, C++-based application with a robust interface. After months of development and testing, they delivered a breakthrough: a software solution that provided real-time #3D navigation during surgeries.   The impact was profound. Surgeons now perform operations with unprecedented accuracy. Moreover, the software met FDA requirements, allowing the company to market the technology in US clinics. This success enabled the company to focus on medical innovation and explore new applications.   What are your thoughts on the future of this technology? #HealthcareSolutions #3DNavigation #FutureOfMedicine #RemoteInSourcing

Understanding how light travels through various materials is essential for many fields, from medical imaging to manufacturing.

Helium’s uses extend far beyond its role in balloons – the material is vital for medical imaging, manufacturing industries, and scientific research. Download the article below or click here to read: https://lnkd.in/eSUArRfN #helium #heliumexploration #criticalrawmaterials #medicalimaging #manufacturing #scientificresearch