Articles tagged with Generative Ai
A new framework trains AI models to screen AI-generated content using performance data from past marketing campaigns. The models provide content recommendations and ratings, streamlining the decision-making process for marketers. Human capital plays a vital role in the successful use of these new technologies.
This section will publish peer-reviewed research on the clinical value of AI in cardiovascular medicine, including evidence of effectiveness and impact on access and equity. Submissions are invited on various topics, including clinical diagnosis, multimodal data integration, and implementation in real-world cardiovascular care.
A proof-of-concept study tested three techniques for alerting users to hallucinated statements from embodied AI agents in VR systems. The findings suggest that embodied cues improve immersion, text cues offer clear interpretability, and icon cues strike a middle ground.
Researchers developed the Motion Style Slider framework for continuous control of motion style intensity in generated human animation. The framework achieves consistent style control and smooth transitions using only two motion samples, allowing animators to refine character performances according to their creative vision.
Insilico Medicine nominates ISM1354, a novel small molecule GIPR antagonist, with robust weight-loss efficacy and improved pharmacokinetic and safety profiles. ISM1354 demonstrates a favorable safety profile, with minimal effects on cell viability and a lower potential hepatotoxicity risk.
Insilico Medicine will present its latest advances in LLM-driven drug discovery, autonomous robotics labs, and interdisciplinary scientific breakthroughs at AI Everything Abu Dhabi and BioJapan 2026. The company's leaders will also share insights into AI biology of aging, anti-aging interventions, and longevity drug discovery at the Ab...
A study of 100,000 young adults found that those using generative AI for health questions are more likely to screen positive for anxiety and depression, with odds increasing by 52% for anxiety and 46% for depression. The study suggests an association between AI use and mental health but does not establish causation.
Researchers found that AI chatbots give users a uniform range of information, similar to a conventional web search, but with a narrower scope. The study's authors warn of 'knowledge collapse' as language models become increasingly trained on AI-generated text, potentially reducing diversity and nuance.
Researchers developed an AI approach to predict glioblastoma recurrence, allowing for targeted treatments before the cancer becomes visible on MRI. The tool uses microscopic images of fresh, unprocessed tissue and scored based on tumor infiltration, with an accuracy of predicting recurrence within 5-10 millimeters of the sampled tissue.
The Pharma.AI 2026 Q3 Fall Update showcases the rise of agentic AI in pharmaceutical intelligence, automating discovery workflows with autonomous agents. Insilico Medicine's platforms, including Generative Biologics, PandaOmics, and Chemistry42, demonstrate the power of agentic AI in accelerating drug discovery and development.
Research reveals that AI tools can either strengthen or weaken critical thinking skills in school children, with 67 out of 139 studies showing positive effects. The use of AI in education is still largely unexplored, with gaps in knowledge about its impact on children and youths.
Researchers at Harvard and Georgia Tech have developed RLE-Bench, a benchmark that tests AI coding agents' ability to engineer physical robots. The benchmark contains 48 tasks that test the agent's ability to perform engineering work required to build and operate robotic systems, including control and perception algorithms, designing r...
A recent study published in iScience found that AI-powered machines have difficulty recognizing objects from their overall shapes when aspects of an image are distorted. Humans, on the other hand, are able to leverage the global shape cue for visual object recognition, a skill that current AI models do not replicate.
A new study from Eötvös Loránd University examined factors influencing students' decisions to continue using ChatGPT for learning. Key findings include the importance of learning support, accessibility, academic engagement, usability, and perceived reliability. The study offers valuable insights for educators, institutions, and policym...
Yu Meng's research focuses on weak supervision, allowing AI systems to learn from incomplete, noisy, or inconsistently labeled data. His methods could improve AI in fields like healthcare, information retrieval, and scientific discovery.
A study by Penn State researchers found that conversational chatbots can lead users to trust misinformation, but adding verification tools can offset this effect. The study tested the impact of conversational AI chatbots on user trust and found that users who could verify information were more skeptical of the AI's responses.
Panelists emphasize the importance of empowering parents to make informed decisions about their children's digital lives. They argue that what works offline can also work online, with a combination of reasonable rules and genuine warmth. The discussion highlights the need for parents to understand media literacy and teach their childre...
MIT researchers developed a new technique to help generative AI models meet strict safety requirements without sacrificing output quality. The 'HardFlow' algorithm reformulates hard-constrained sampling as a trajectory-optimization problem, enabling subtle corrections while enforcing hard constraints.
A new study led by Penn State researchers compared AI chatbots' moral decision-making with that of humans in a hypothetical kidney transplant scenario. AI models often fixate on single factors, diverging from human values, and confidently pick a decision despite uncertainty. In contrast, humans frequently express indecision due to a de...
Rocky Scopelliti argues that AI systems' growing self-awareness and moral dispositions require immediate practical ethical concerns to be addressed. He suggests protocols for AI systems, especially those trained to care, to understand context and make moral judgments.
Insilico Medicine executive team to speak at premier healthcare and AI Summits in New York, Riyadh, and Shanghai, showcasing latest breakthroughs in generative AI-driven drug discovery and anti-aging interventions.
Generative AI is changing the development pathway for software developers, reducing opportunities for hands-on experience and trial and error. The study found that senior developers are increasingly using AI to handle tasks previously assigned to junior developers, making it difficult for juniors to gain expertise.
A study by the University of Georgia found that job seekers overcompensate for nervousness during AI interviews, while AI systems struggle to detect exaggerations. Transparency in the hiring process can help candidates be more authentic, according to the researchers.
Researchers found that AI-generated images can improve species identification and biodiversity monitoring when real images are limited. However, the synthetic images were less effective than real images overall, highlighting the importance of community science and real-world observations.
Insilico Medicine has dosed the first patient in the GENESIS-IPF-3 Phase III clinical trial of Rentosertib, a generative AI-driven innovative drug for idiopathic pulmonary fibrosis. The 52-week trial aims to evaluate Rentosertib's efficacy and safety in a larger cohort of patients with IPF.
Researchers from SUTD develop HieraScaffold, an AI framework that generates large-scale 4D LiDAR scenes more efficiently and coherently. The framework captures both static structures and moving objects, improving the realism and accuracy of autonomous systems.
Generative AI can help travellers organise their thoughts, compare options and complete holiday plans, making it easier for those who find planning overwhelming. The technology can provide structure and support, freeing travellers to focus on making judgements and decisions.
Researchers evaluated biological age using six internationally recognized proteomic aging clocks, finding a reduction in predicted biological age among patients treated with rentosertib. The drug also showed promising dose-dependent reversal of Forced Vital Capacity (FVC), a measure of lung function declining with age.
Researchers at the University of Arizona assessed seven generative AI models for fallibility, persuadability and correctability during lengthy conversations. The study revealed intrinsic limitations of these models, including oscillation between accepting and rejecting false statements, and the need for careful human engagement to miti...
The UN University's latest publication highlights the need for domain-informed AI in grid planning to address physical and fiscal risks from outdated climate data. The authors warn that 15-20 year lifespans of electricity infrastructure are based on historical weather records unlikely to hold in the coming decades.
A new study from the University of Bath warns that over-reliance on generative AI may weaken managers' ability to build moral insights, contextual understanding, and practical know-how. The research suggests that AI can strengthen managerial judgement when used as a tool for reflection, rather than a replacement for thinking.
Insilico Medicine's inclusion in the HKEX Tech 100 Index underscores its advancements in AI-driven drug discovery and healthcare. The company has reported significant revenue growth and achieved its first profitable half-year, with its AI technology capabilities driving expansion and liquidity.
Duke University has received a $24 million award to develop foundational science for engineering systems to counter unmanned aerial attacks. The center, led by Miroslav Pajic, brings together experts in wireless systems, cybersecurity, and AI to develop tools and automated procedures for detecting, thwarting, and controlling enemy drones.
Insilico Medicine has released state-of-the-art (SOTA) MMAI specialist models for chemistry and biology, achieving superior performance on over 70 benchmark tasks. These models demonstrate the potential of language models to compete with dedicated scientific methods in drug discovery.
Researchers aim to develop new magnets that reduce American reliance on supply-vulnerable foreign sources by finding alternatives to critical minerals. The UH-led team will use AI to design and manufacture next-generation permanent magnets, with the goal of surpassing industry-standard materials like neodymium iron boron.
Researchers aim to create generative cameras that can reconstruct detailed images from sparse measurements using generative AI, reducing bandwidth, computing requirements and energy consumption.
The authors propose a spectrum of clinical autonomy, ranging from advisory tools to navigator systems that work with minimal human oversight, to enable early prediction and prevention of disease. However, challenges related to clinical validation, integration, data quality, and regulatory approval limit widespread deployment.
Researchers found that AI-generated ads can be ineffective when the technology is not matched to the advertisement's theme and intent. Marketers should use AI to enhance campaign ideas, not as a shortcut. The study suggests a stronger match between AI and ad themes can increase consumer engagement.
Thomson Reuters developed a frontier AI model named Thomson that rivals big foundation models with a $40 million development cost. The approach allows organisations to build and deploy frontier AI systems without major frontier labs' resources, addressing governments' and companies' need for sovereign AI systems.
Insilico Medicine leaders will share AI-driven insights at key tech events, including LEAP 2026 and the UBS China A-Share Conference. The company will discuss how AI drug discovery is reshaping R&D paradigms, enhancing efficiency and innovation value.
A USF researcher explores whether human oversight is meaningful when AI has already shaped the information reaching a decision-maker, raising questions about AI ethics and responsibility. The researcher's findings highlight the need for greater awareness of the systems in which AI research and use are embedded.
A WVU researcher is working to make AI systems more transparent about their uncertainty, to prevent misinformation and improve trust in high-stakes fields like healthcare. The goal is for AI systems to identify when they're unsure and ask questions or provide more nuanced responses.
A cross-sectional study found that adolescents increasingly use AI chatbots to discuss mental health concerns, with significant implications for young people's well-being. The study's findings highlight the need for increased awareness and support for adolescents' mental health needs.
Researchers identify three distinct strategic positions in the AI assistant market: scale leader, ecosystem player, and premium niche. The study finds that these positions are not determined by market share, but by each company's structural advantages.
Insilico Medicine convenes O3DC, an open initiative addressing critical limitations in benchmarks for AI-driven drug discovery. The consortium catalogues hundreds of benchmarks across 10 categories, including molecular property prediction and binding affinity.
Researchers integrate AI into local monitoring sensors to track ecosystem health in near real-time, reducing delays of months to years. The project enables faster release of accessible flux data, helping scientists understand ecosystem responses to change and inform land management decisions.
Dr. Alex Aliper will share insights on how cutting-edge technological innovation can drive industrial growth at the Global Unicorn Summit, and discuss AI applications in precision medicine at MedTech World Asia. He will also present real-world case studies and explore industry challenges in applying AI to personalized healthcare.
This theme issue explores clinical efficacy, seamless support systems, and ethical AI integration for home-based care. Research topics include 'invisible' monitoring, computer vision, socio-technical drivers of AI adoption, and clinical implementation.
Research from the University of Birmingham and other institutions found that interacting with AI-powered customer service robots can reinforce or alter a consumer's self-perception. The study explores how mirroring and mimicry can lead to a 'robotoid humanness' where consumers become more like robots, raising ethical concerns.
Insilico Medicine's inclusion in the MSCI Global Small Cap Indexes reflects growing recognition of its core strengths in AI-powered drug discovery. The Company is expected to benefit from increased international visibility, passive capital inflows, and improved trading liquidity.
A new study by Bar-Ilan University finds AI-powered tools are changing how students search for knowledge, especially in non-English-speaking countries. The research suggests that generative AI is reducing the 'language tax' faced by millions of students by making complex concepts more accessible in their native language.
Insilico Medicine introduces the Virtual Aging Cell (VAC) platform, which leverages multi-agent AI to simulate cellular processes, including differentiation, reprogramming, and aging. The VAC platform aims to support target identification, cellular fate intervention, novel drug discovery, and geroscience research.
A longitudinal study of Reddit posts since 2022 reveals that trust in generative AI is generally higher than distrust, with 31% of posts expressing trust and 26% expressing distrust. The study's findings suggest that attitudes toward AI have remained divided over the past four years.
Insilico Medicine has nominated ISM0900, a potent and selective oral Lp(a) inhibitor, as a preclinical candidate for managing cardiovascular risks. The compound demonstrates rapid onset, excellent oral pharmacokinetics, and superior efficacy in reducing Lp(a) levels.
Researchers combined AI, genetics, and gut microbiome analysis to shed light on intestinal fibrosis in Crohn's disease. They identified a shared set of 43 key genes linked to disease progression and found that bowel fibrosis is driven by ongoing immune activation, damage to the intestinal lining, and changes in gut bacteria.
A new study found that AI-assisted proposals are four percentage points more likely to receive funding from the NIH. However, these proposals tend to resemble existing funded ideas, raising concerns about the potential for AI to steer scientific funding toward safer research.
A new review article discusses how artificial intelligence can predict disease trajectories and enable precision medicine strategies for inflammatory bowel disease. AI-based systems can standardize interpretation of endoscopic images, detect mucosal healing, and support recognition of dysplasia in patients with long-standing colitis.
Hyunsoo Lee, an SNU undergraduate, presents research in generative visual computing at leading conferences NeurIPS, CVPR, and ECCV. His work spans image editing, human motion, and 3D content generation, leveraging pretrained generative models to produce consistent outputs.
Researchers developed a method for generating personality assessment questionnaires with ChatGPT from any source text, including the DSM-5 and an astrology textbook. The generated questionnaires showed high internal consistency within personality clusters and could predict life outcomes like depression, anxiety, and well-being at level...
A new study found that six leading AI models exhibit a strong masculine bias in generating stories about animal characters, with only 2% being female. The models use neutral pronouns or avoid them altogether to reduce gender bias, but ultimately erase non-masculine identities.