New artificial intelligence capabilities can help patients understand care plans and medications, offer automated reminders of upcoming visits and prompt them to complete labs or schedule follow-up screenings.
A cancerous tumor is not a single enemy. It is made up of many different cell populations that can behave in very different ways. Among them, even at the time of diagnosis, there may already be cells that months or years later could give rise to metastases or become resistant to treatment. The challenge is that these critical cell populations are extremely difficult to detect in time. Researchers in Szeged, working together with Swiss and Swedish partners, have achieved an important breakthrough in this field.
The Momentum Microscopic Image Analysis and Machine Learning Research Group, led by Péter Horváth, recently appointed State Secretary for Science, is working to address this challenge. Based at the HUN-REN Biological Research Centre, Szeged, the group develops artificial intelligence-based methods that connect microscopic tissue images with molecular information. Two recent high-impact publications in the international scientific literature report, for the first time, single-cell-level measurements of the genetic and protein profiles of tumor clones [https://doi.org/10.1038/s44321-026-00484-8], as well as the genetics of metastasis formation by tumor clones [https://doi.org/10.1038/s41698-026-01569-w]. These results open new perspectives for the future of precision cancer therapy.
Traditional molecular analyses often examine an entire tissue sample at once. As a result, important differences between distinct regions of a tumor may be lost. The aim of the new approach is to enable researchers to see not only what a tumor looks like, but also how its different cell populations function. In this way, the internal map of a tumor becomes not only visible, but also readable at the molecular level.
A recent study published on the arXiv preprint* server used AMIE, a Gemini-based multi-agent system that integrates real-time audio-visual perception, low-latency dialogue, and clinical reasoning, to demonstrate what researchers described as expert-level AI performance in simulated real-time clinical video consultations.
The 24/7 app-based service is expected to reduce the need for in-person appointments while making preventive healthcare more accessible.
Scientists have combined Artificial Intelligence (AI), genetics and gut microbiome analysis to shed new light on one of the most serious complications of Crohn's disease: intestinal fibrosis, the irreversible scarring of the bowel that often leads to surgery.
Publishing their findings in Frontiers in Artificial Intelligence, the research team led by experts from the University of Birmingham Dubai reveals that bowel fibrosis is not a separate disease stage. Instead, it appears to be a related inflammatory condition driven by ongoing immune activation, damage to the intestinal lining and changes in gut bacteria.
They're going to be more apprehensive to schedule the lactation appointment or the in-office appointment," Dr. Bowers said. "Sometimes, we see that there is a delay in a baby's growth because of it, and then we have to go backwards. Or we see a drop in mom's breast milk supply because AI told them they don't need to feed as frequently.
When it comes to identifying harmful bacteria, it helps to look at the company their genes keep.
Researchers with the Arkansas Agricultural Experiment Station, the research arm of the University of Arkansas Division of Agriculture, used a machine-learning approach to study not just which genes a bacterium has, but also where those genes sit next to each other. That "genetic neighborhood" helped researchers distinguish disease-causing strains of Enterococcus cecorum, a poultry pathogen, from nonpathogenic strains.
While many strains of E. cecorum are harmless, others can cause arthritis, bone infections and lameness in poultry, which creates animal welfare concerns and economic losses.
AWS will become Novo Nordisk's preferred cloud provider and strategic AI partner as the companies build a new AI co-innovation hub in London focused on drug discovery.
Advances in genome sequencing are giving more families access to prenatal genetic testing and new information about an unborn baby's health, including whether genetic changes may link to a neurodevelopmental condition.
But testing can also uncover DNA changes that clinicians do not yet understand. Known as variants of uncertain significance or VUS, these changes can't be easily classified as harmful or harmless based on available evidence. The result: uncertainty for a significant number of expecting parents.
The enterprise IT giant said the combined companies will enable healthcare organizations to work with a single provider for services ranging from their cloud infrastructure to the software with which doctors interact.
If your organization isn’t handling patient communications effectively, patient-provider relationships, revenue, and staff satisfaction can be negatively impacted. Cloud-based customer experience (CX) technology, including artificial intelligence (AI), can help address these challenges and ensure that your organization can always respond to patients whenever and wherever they reach out.
This eBook by Metrigy and GoTo shares insights on how healthcare organizations of varying sizes are advancing patient engagement by leveraging cloud-based unified communication platforms that integrate directly with EHRs.
Choosing a provider is one of the most critical — and personal — decisions in healthcare. But when digital tools make that process difficult, patients walk away. 1 in 5 consumers abandon providers due to poor digital experiences and 41% are willing to switch for something better.
Join Coveo and Perficient to learn how healthcare leaders like St. Luke’s Health System use AI-powered search, recommendations, and personalization to enhance patient experiences, drive engagement, and accelerate growth.
