Daley and Mout added that the team is excited that the approach can guide T cells to tumors, stimulate their cancer cell-killing abilities, and overcome immune suppression by the tumor microenvironment.
Mout, who trained in the lab of Nobel Prize-winning co-author and Rosetta creator David Baker, is especially enthusiastic about the technology’s far-reaching potential.
“Our goal is to develop next-generation immunotherapies and cancer vaccines,” he said.
A new AI-driven technology developed by researchers at UNIST promises to significantly reduce data transmission loads during image transfer, paving the way for advancements in autonomous vehicles, remote surgery and diagnostics, and real-time metaverse rendering—applications that demand rapid, large-scale visual data exchange without delay.
Led by Professor Sung Whan Yoon from the Graduate School of Artificial Intelligence at UNIST, the research team developed Task-Adaptive Semantic Communication, an innovative wireless image transmission method that selectively transmits only the most essential semantic information relevant to the specific task. Their study is published in the IEEE Journal on Selected Areas in Communications.
Current wireless image transmission methods compress entire images without considering their underlying semantic structures—such as objects, layout, and relationships—resulting in bandwidth limitations and transmission delays that hinder real-time high-resolution image sharing.
Immune checkpoint inhibitors (ICIs) are medications used in cancer immunotherapy. However, treatment with ICIs may lead to adverse effects, particularly myocarditis and pericarditis. This practical pharmacovigilance study investigates the relationship between ICIs and myocarditis and pericarditis using the FAERS (U.S. FDA Adverse Event Reporting System) database.
Data on myocarditis and pericarditis related to ICIs were extracted from the FAERS database for the period from 2014Q1 to 2023Q4. Data mining was performed using the Bayesian Confidence Propagation Neural Network (BCPNN) and the Reporting Odds Ratio (ROR).
A total of 1,112 cases involving 1,134 adverse event (AE) reports related to ICIs-associated noninfectious myocarditis/pericarditis (NM/P) were extracted from the FAERS database. After excluding reports with missing data, the primary reporters were physicians, consumers, and pharmacists, with the United States and Japan being the main reporting countries. The cases showed a greater percentage of males than females, with a median age of 67 years, a median weight of 65 kg, and a median onset time of 28 days. The signal strength of ICIs-associated NM/P, from highest to lowest, was as follows: Pembrolizumab (ROR: 12.32, 95% CI: 11.28–13.45, IC 025: 3.45) Nivolumab (ROR: 11.23, 95% CI: 10.13–12.44, IC 025: 3.30) Atezolizumab (ROR: 10.62, 95% CI: 8.67–13.02, IC 025: 3.10) Ipilimumab (ROR: 10.25, 95% CI: 8.34–12.58, IC 025: 3.04) Durvalumab (ROR: 9.25, 95% CI: 7.21–11.88, IC 025: 2.83).
Oregon-based robotics company Agility Robotics announced Thursday that its humanoid robot Digit has moved more than 100,000 totes at a GXO Logistics facility in Flowery Branch, Georgia.
This milestone marks a significant step for the company in proving the practical value of humanoid robots in real-world logistics. Instead of polished demo clips, this result proves the robot can handle real warehouse tasks every day.
Using simulation-based techniques, scientists can ask how their ideas, actions, and designs will interact with the physical world. Yet this power is not without costs. Cutting edge simulations can often take months of supercomputer time. Surrogate models and machine learning are promising alternatives for accelerating these workflows, but the data hunger of machine learning has limited their impact to data-rich domains. Over the last few years, researchers have sought to side-step this data dependence through the use of foundation models— large models pretrained on large amounts of data which can accelerate the learning process by transferring knowledge from similar inputs, but this is not without its own challenges.
Biologist Michael Levin—creator of the world’s first living robots—reveals a radical, evidence-based view of evolution driven by a fundamental mind, where agency emerges in unexpected places and what this means for humanity’s co-evolution with AI and AGI.
▶️ Read the article on Forbes.com \.
If “Batman” appears on the scene, we immediately become more altruistic: in fact, research conducted by psychologists from the Università Cattolica del Sacro Cuore, Milan, shows that the sudden appearance of something unexpected—Batman—disrupts the predictability of everyday life and forces people to be present, breaking free from autopilot.
The study was published in the journal npj Mental Health Research, and was led by Francesco Pagnini, Full Professor of Clinical Psychology at the Faculty of Psychology, Università Cattolica.
Prosocial behavior, or the act of helping others, is essential to social life, yet the spontaneous environmental factors that trigger such behavior remain little explored. This study tested the ability of an unexpected event, such as the presence of a person dressed as Batman, to increase prosocial behavior by interrupting routines and increasing people’s attention to the present moment.
