Israeli-based health tech company Cordio has developed machine learning software that can be downloaded to a smartphone and help keeps cardiac patients out of the hospital.
One day in the future.
It’s a simple daily habit that could save their life, because one day after repeating their daily refrain, their doctor might be notified that a patient is at risk of heart failure without immediate care.
A recent study published in the journal Scientific Reports assessed the associations between the change in total cholesterol (TC) levels after type 2 diabetes (T2D) diagnosis (relative to pre-diagnosis levels) and the risk of cardiovascular disease (CVD).
CVD is the global leading cause of mortality. T2D is a gateway disease to CVD. A study revealed higher coronary heart disease (CHD) and stroke risks in diabetes patients than in non-diabetic individuals. The global prevalence of T2D is expected to exceed 10% by 2030. Therefore, preventing CVD in people with diabetes could be of public health significance.
Hypercholesterolemia is a significant risk factor for CVD, and its adverse effects on CVD could be more evident in individuals with metabolic conditions, e.g., T2D. Diabetes patients may be more susceptible to hypercholesterolemia’s negative impact on CVD risk. Nonetheless, T2D diagnosis often results in positive lifestyle changes helping reduce hypercholesterolemia or CVD risk.
Billionaire Elon Musk took a dig at fellow billionaire and Microsoft co-founder Bill Gates over his knowledge of artificial intelligence (AI). He insisted that Mr. Gates has a “limited” understanding of AI.
This was in response to a tweet by Sandy Kory, who praised the leadership of Mr. Gates at Microsoft and his approach toward AI. “‘I’d been meeting with the team from OpenAI since 2016…” –from Bill Gates’ essay, The Age of AI Has Begun. It’s big when someone like Gates is so bullish on AI. Also notable that MSFT has been tracking this so closely for so long,” he said.
Mr. Kory was referring to a long, 3,639-word essay the billionaire wrote on his blog titled “The Age of A.I. Has Begun”. He wrote about how humanity was waiting for another great revolution. Mr. Gates discussed the potential impact of AI on employment, health care, and education.
Founded in 2020, Moonfire Ventures has raised a $115 million second round of investment to invest in European technology and AI startups.
As reported by Reuters, a large investment fund called Moonfire Ventures has just raised $115 million to help invest in European technology and artificial intelligence (AI) startups. Founded by Atomico (a venture capital firm) co-founder Mattias Ljungman in 2020, this news will undoubtedly be welcomed by the tech industry across the continent.
The recent advent of generative models, computational tools that can generate new texts or images based on the data they are trained on, opened interesting new possibilities for the creative industries. For example, they allow artists and digital content creators to easily produce realistic media content that integrates elements of different images or videos.
Inspired by these recent advances, researchers at Stanford University, UC Berkeley and Adobe Research have developed a new model that can realistically insert specific humans into different scenes, for instance showing them as they exercise in the gym, watch a sunset on the beach, and so on.
Their proposed architecture, which is based on a class of generative models known as diffusion models, was introduced in a paper pre-published on the arXiv server and set to be presented at the Conference on Computer Vision and Pattern Recognition (CVPR) 2023 in Vancouver this June.
Introducing an innovative solution that enhances your mobility WIM: - It provides easy and safe walking. - It enables effective exercise. - It guides and reinforces your gait performance.
face_with_colon_three This new gold rush with AI will bring new jobs for even Psychiatry and Therapists which is already leading to new bots with human like therapists in texts. This could lead to even better mental health for the global population.
“Psychotherapy is very expensive and even in places like Canada, where I’m from, and other countries, it’s super expensive, the waiting lists are really long,” Ashley Andreou, a medical student focusing on psychiatry at Georgetown University, told Al Jazeera.
“People don’t have access to something that augments medication and is evidence-based treatment for mental health issues, and so I think that we need to increase access, and I do think that generative AI with a certified health professional will increase efficiency.”
A machine learning-based method developed by a Mount Sinai research team allows medical facilities to forecast the mortality risk for certain cardiac surgery patients. The new method is the first institution-specific model for determining the risk of a cardiac patient before surgery and was developed using vast amounts of Electronic Health Data (EHR).
Comparing the data-driven approach to the current population-derived models reveals a considerable performance improvement.
The demo is clever, questionably real, and prompts a lot of questions about how this device will actually work.
Buzz has been building around the secretive tech startup Humane for over a year, and now the company is finally offering a look at what it’s been building. At TED last month, Humane co-founder Imran Chaudhri gave a demonstration of the AI-powered wearable the company is building as a replacement for smartphones. Bits of the video leaked online after the event, but the full video is now available to watch.
The device appears to be a small black puck that slips into your breast pocket, with a camera, projector, and speaker sticking out the top. Throughout the 13-minute presentation, Chaudhri walks through a handful of use cases for Humane’s gadget: * The device rings when Chaudhri receives a phone call. He holds his hand up, and the device projects the caller’s name along with icons to answer or ignore the call. He then has a brief conversation. (Around 1:48 in the video) * He presses and holds one finger on the device, then asks a question about where he can buy a gift. The device responds with the name of a shopping district. (Around 6:20) * He taps two fingers on the device, says a sentence, and the device translates the sentence into another language, stating it back using an AI-generated clone of his voice. (Around 6:55) * He presses and holds one finger on the device, says, “Catch me up,” and it reads out a summary of recent emails, calendar events, and messages. (At 9:45) * He holds a chocolate bar in front of the device, then presses and holds one finger on the device while asking, “Can I eat this?” The device recommends he does not because of a food allergy he has. He presses down one finger again and tells the device he’s ignoring its advice. (Around 10:55)
