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🫀 Surgeons can now fix a clogged artery with a stent that completely disappears. Holds the vessel open while it heals. Releases anti-scarring meds. Then dissolves into water and CO2. 🔬 The artery moves naturally again, like the disease was never there. ✨ #omgfacts #MedicalBreakthrough #HeartHealth #Biotech #FutureOfMedicine

30,825 次观看 • 2 个月前 •via X (Twitter)

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PHOTON COUNTING CT AND A NEW CONCEPT OF NORMAL CORONARY ARTERIES For more than 2 decades we have been performing Cardiac CT with constant improvements in all parameters (spatial, temporal and contrast resolution). The improvements were progressive in certain fields and steep in other (e.g.: the introduction of Dual Source CT that completely changed the range of temporal resolution achievable basically overnight and still is the most important source of flexibility in Cardiac CT scanning after almost 20 years). Spatial resolution instead was improved in a slow and progressive way until the test EID CT generations that achieved a spatial resolution of 250 microns. This allowed us to assess a coronary artery tree and define it as normal when no apprentice changes were visibile up to that value. But we know that the normal thickness of coronary artery walls is quite below that threshold. It is more in the range of 80-200 microns. Therefore, the very early changes in coronary artery wall thickness could not be picked up by EID CT technology. With the introduction of PCCT we can constantly achieve 100 microns spatial resolution which means that we work extol in range in which coronary artery disease starts. It also means that we don't see any thickening of the the coronary artery walls we have a much higher specificity and reliability. This concept is a transformative one because it allows us to shift earlier and earlier the beginning of atherosclerosis in our patients and think even more precisely in terms of cardiovascular prevention and monitoring. Movie: example of normal coronary artery tree with PCCT. A new era is coming into practice and it is the age of Photon Counting CT which pushes this boundaries further away. PCCT is a NEW Imaging Modality. PCCT is changing the game, the field, the language, the priorities and in the end it will change the entire infrastructure of diagnostic medicine. PS: note that PCCT images have to be reduced in resolution when uploaded in social media. #CardiacImaging #MedicalInnovation #StentAssessment #Radiology #PCCT #photoncounting #QuantumHD #CT #computedtomography #yesCCT #coronaryarterydisease #ischemia #naeotomalpha #Peak #Pro #Prime #speed #cardiac #highresolution #siemenshealthinners #CardiacCT #PhotonCountingCT #MedicalImaging #HeartHealth #CardiovascularInnovation #Radiology #AIInMedicine

Dr. Filippo Cademartiri

63,080 次观看 • 1 年前

At the age of thirteen, in the late 1940s, Thomas Fogarty, newly bereft of his father, found himself employed at Cincinnati’s Good Samaritan Hospital, sorting supplies and learning the rhythms of the place from the ground up. With time and a certain doggedness, he moved from the stockroom to the operating room, working his way up to the role of scrub technician, where he stood at the surgeon’s elbow, handing over instruments. Back then, the approach to removing blood clots from an artery was crude and perilous. It was a bit like a ritual sacrifice—that involved slicing the artery wide open in a procedure that could easily stretch over nine hours and leave the patient with incisions from the abdomen down both legs. The outcome, more often than not, was dismal. Many didn’t survive, many others ended up with amputations. It was during those hours at the operating table, observing the struggle of clot removal, that Fogarty began to wonder if there might be a way to make the process a bit less medieval. He retreated to his garage with little more than a length of tubing, a surgical glove, and an idea. There, he crafted a tool so simple that it verged on the audacious. He started with a urethral catheter, flexible yet sturdy enough to navigate through a clot. To the end of the catheter, he attached a tiny balloon made from the finger of a latex glove. Once past the clot, the balloon could be inflated with saline from the other end of the tube, expanding it to the width of the artery and then pulled back—bringing the clot along with it. The device was so simple, so staggeringly clever, that when he demonstrated its use, the surgeons were equal parts gobsmacked and irritated. With it, clot removal (embolectomy) was no longer a barbaric ritual but a neat, almost gentlemanly procedure. Like removing a cork from a bottle. Thomas Fogarty went on to become a cardiovascular surgeon. That little embolectomy catheter he dreamt up became the very first minimally invasive surgical device. Here’s a video showing how it’s done: through a small incision in the groin, under local anesthesia.

Ambarish Satwik

49,730 次观看 • 1 年前

This work makes a humanoid robot do simple parkour moves by looking with a depth camera and choosing the right move on the fly. The big deal is that it turns lots of small human moves into long, real-time robot behavior, without hand-coding every transition or retraining for each new course. A humanoid robot is usually good at steady walking, but it often fails when it has to do fast moves like jumping up, vaulting, or rolling, and then keep going to the next obstacle. The hard part is that you cannot easily collect training data for every possible obstacle shape, distance, and mistake, so robots end up learning a few moves that only work in a narrow setup. This work starts from short clips of real human parkour moves, like stepping over, vaulting, climbing, and rolling. It uses motion matching, which is basically a smart “pick the next clip that fits best right now” search, to stitch those short clips into a long, smooth plan that looks like a human doing a whole course. Then it trains a controller with reinforcement learning (RL), which means the robot learns by trial and error to copy that plan while staying balanced and not falling. After training separate expert controllers for different moves, it compresses them into 1 controller that uses only onboard depth sensing and a simple “go this fast in this direction” command. In real tests on a Unitree G1 humanoid, it can clear multiple obstacles in a row, adapt when obstacles get moved, and climb a wall up to 1.25m.

Rohan Paul

37,121 次观看 • 5 个月前

satoshi never existed. nobody writes code like that. not that clean, not that surgical. the early bitcoin codebase doesn’t read like code from some anonymous guy on the internet. bitcoin's early codebase looks like it was handed to us. the whitepaper came out six weeks after the 2008 crash. that's not enough time to dream up a working distributed consensus system, let alone build one. then there’s secp256k1. not secp256r1, the curve everybody used. k1 was obscure, weird, and a terrible choice if you were just following convention. but it also happened to be one of the hardest to backdoor. and then satoshi disappears. roughly a million btc, untouched. people don’t walk away from that kind of money unless the money was never the point. because maybe bitcoin was never just money. what it actually did was create a global incentive to build compute. millions of people, in every country, pouring capital into hardware and electricity to chase block rewards. no state could have coordinated it that fast. no company could have justified it. a protocol paying out internet money gets people moving. then nvidia happened. the same GPUs pushed into the world for mining turned out to be perfect for large-scale parallel compute. the same hardware appetite bitcoin created ended up helping make modern deep learning possible. bitcoin launches in 2009. imagenet breaks things open in 2012. three years. bitcoin was the bootloader. and we’ve been running the install script.

tetsuo

53,641 次观看 • 4 个月前