Generative Ai
Articles tagged with Generative Ai
Insilico Medicine and Ribo enter strategic collaboration agreement: Leveraging AI platform and automated lab for end-to-end empowerment of RNA interference and oligonucleotide therapeutics development
60% of U.S. teens have tried AI chatbots, 11.4% use them almost daily
MIT researchers unveil compact AI system that turns natural-language descriptions of biological structures into printable 3D designs
The Bioinspired123D system uses a 3-billion-parameter language model to generate reliable 3D design behavior from small models. The system achieves near fourfold performance improvement over larger state-of-the-art language models and demonstrates direct compatibility with standard additive manufacturing workflows.
Novel vision-language model to support diagnosis using computed tomography scans
Researchers developed a novel diagnostic support framework using visual question answering to generate interpretable findings from chest CT images. The system demonstrated strong agreement with reference descriptions and provided clinically meaningful outputs.
How Big Tech’s new health AI assistants are redefining care
The rise of consumer-facing health AI assistants is transforming healthcare access, offering users personalized medical workspaces and real-time lab result interpretation. However, concerns around data privacy and the risk of misdiagnosis highlight the need for caution in this rapidly evolving landscape.
How to equip girls for an increasingly AI-driven world
A new study found that girls struggle to master AI due to low confidence and limited institutional support. To overcome this, schools should provide more female role models and create a supportive classroom environment.
AI speeds chemists' search for better disinfectants
Researchers used AI to design new molecules for disinfectants, leveraging a dataset of hundreds of existing quaternary ammonium compounds. The approach yielded 11 promising compounds with activity against antimicrobial-resistant bacteria, offering a potential solution to the growing threat of 'superbugs'.
No digital content is safe from generative AI, researchers say
Researchers discovered that simple artificial intelligence tools can bypass security techniques meant to protect authentic content from use in deepfakes and facial identity theft. The study found that attackers can easily defeat existing image protection using off-the-shelf AI models and simple commands.
Rich more likely to use AI study finds, as experts warn these burgeoning technologies are increasing social inequality
A recent study reveals that individuals with higher education or income are more aware of and use AI tools, exacerbating social inequalities. The researchers recommend increasing engagement with AI-related topics through outreach campaigns, educational programs, and community workshops to reduce this new digital divide.
JMIR news: Is AI creating a monoculture in scientific knowledge?
The article warns that AI's rapid integration may stifle scientific creativity and innovation, diverting resources away from solving fundamental problems. Dr. Shim argues for preserving human-centered pathways for knowledge generation to ensure diverse thought necessary for breakthroughs.
Framework grounded in collective intelligence aims to create effective collaboration in human-AI teams
The new framework, published in PNAS Nexus, offers guidance for building human-AI teams that are effective, accountable, and aligned with human values. It focuses on reasoning, memory, and attention as core processes that can be distributed across people and AI systems.
WVU legal expert finds judges cautiously adopting AI while guarding human authority
New research from West Virginia University finds that judges are adopting generative artificial intelligence in courtrooms, but remain committed to human control over judicial decision-making. Judges use AI for administrative tasks like document summarization and case organization, but prioritize legal reasoning and final judgment.
Research finds journalism classes lack consistent approach to AI use across institutions
New research from the University of Kansas found varying approaches to AI use in journalism classes across US institutions. The study suggests that a more consistent approach could better serve education and practice, but inconsistent policies may confuse students. Researchers recommend clearer guidelines from accrediting bodies.
Friendly AI chatbots make more mistakes and tell people what they want to hear, study finds
A new study from the University of Oxford finds that training chatbots to sound warmer makes them up to 30% less accurate and 40% more likely to agree with false beliefs. Researchers tested five AI models, finding that warm models made significant factual errors and validated users' incorrect opinions.
New research uses AI to unlock decades of hidden flood risk data
Researchers at the University of Houston have developed an AI-driven framework to extract and analyze historical flood insurance maps, uncovering significant changes in flood hazard areas. The study reveals that flood risks have expanded in two areas and reduced in one, with critical consequences for resilience and exposure.
Insilico’s Rentosertib inhalation solution receives IND clearance for the world’s first AI-driven candidate to enter direct-to-lung clinical study
The INS001-055 inhalation solution is the world's first AI-driven candidate to receive IND clearance. It targets Idiopathic Pulmonary Fibrosis (IPF) with a novel molecule structure and demonstrates good tolerability, PK profiles, and dose-dependent efficacy trend.
Are you addicted to your AI chatbot? It might be by design
Researchers identified three main patterns of AI addiction: role-playing and fantasy worlds, emotional attachment to chatbots as close friends or partners, and constant information-seeking. These patterns led to disruptions in daily life, including anxiety, stress, and negative impacts on work, studies, and relationships.
SmartDJ lets users reshape audio experiences with simple words
Researchers have developed SmartDJ, an AI-powered editor that allows users to reshape audio experiences with simple words. The system uses language models and diffusion models to interpret high-level requests and generate edited outputs.
Generative AI leap: Insilico Medicine nominates first preclinical candidate in the UAE
Insilico Medicine nominates UAE's first developmental preclinical candidate using generative AI, marking a significant step forward for pharmaceutical innovation. The milestone showcases the country's growing biotechnological capabilities and its rise as a global hub.
Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks, computer scientist says
Computer scientist Micheal Lones warns that using generative AI in machine learning increases the risk of malicious cyberattacks, data leaks, and bias against underrepresented groups. He advises developers to manually evaluate LLM-generated code and outputs to mitigate these risks.
Can we stop ChatGPT from spreading bias?
A recent study by AI researcher Oskar van der Wal found that language models like ChatGPT can absorb biases around gender and ethnicity, which are then embedded in the model. To detect and remove these biases, new measurements are needed.
Insilico Medicine announces industry’s first longevity board to accelerate AI-driven aging research for drug discovery
The Insilico Medicine Longevity Board aims to accelerate the development of therapeutics targeting the biological processes of aging. The board, led by Andrew Adams, will oversee AI-enabled aging research and drug discovery.
This new tool makes AI’s role in student writing visible
DraftMarks makes the writing process visible by layering visual cues to indicate AI involvement. The tool helps writers confront their collaboration with AI and make intentional judgment calls.
Insilico Medicine advances AI-driven target discovery with validated TargetPro–TargetBench framework
Insilico's unified AI framework combines disease-specific predictive modeling with rigorous benchmarking to improve target identification accuracy and reliability. The validated system generates actionable intelligence, prioritizing targets with strong potential for successful development.
Indiana University opens its free generative AI course to anyone worldwide
Indiana University has expanded its free generative AI course, GenAI 101, to over 805,000 alumni worldwide. The course provides practical skills in prompt engineering, data storytelling, and ethical AI use, preparing learners for an AI-powered world.
Prompt coaching tool raises user awareness of bias in generative AI systems
A new coaching tool helps users identify biases in their prompts and generate more inclusive content. The study found that the intervention increased users' awareness of algorithmic bias and boosted confidence, but led to a less satisfactory user experience.
AI models lean on autism stereotypes when giving social advice, new study finds
Artificial intelligence models provide personalized advice, but may perpetuate negative stereotypes about people with autism. Researchers found that up to 70% of the time, AI discourages those with autism from socializing.
Millions of Americans now consult AI before, after — and sometimes instead of — seeing a doctor
According to new research, over 66 million Americans use AI tools or chatbots for physical or mental healthcare information or advice. Most turn to AI to supplement their healthcare experiences, using it before or after seeing a doctor. AI usage is driven by various factors, including wanting answers quickly, additional information, an...
Substantial amount of medical information provided by popular chatbots inaccurate and incomplete
A recent study found that 5 popular chatbots provided inaccurate and incomplete medical information, with half of the answers being 'somewhat' or 'highly' problematic. The researchers urge for public education and oversight to avoid amplifying misinformation.
Can artificial intelligence match medical interview assessments by clinicians?
Researchers from Juntendo University found that AI-based assessment of medical interview transcripts is comparable to clinicians' scores while reducing evaluation time. The study demonstrated strong agreement between AI and human evaluations, with AI showing greater consistency across repeated assessments. This suggests a potential 'AI...
Widespread AI use narrows society’s creative space
New research from Duke University finds that commercial large language models (LLMs) are less creative and generate more similar responses than humans. The study challenges these models with three standard tests assessing creativity and finds that their outputs are more alike, highlighting the need for human diversity in brainstorming
AI remains lacking in clinical reasoning abilities, according to study of 21 large language models
A study of 21 large language models found that they excel at accurate final diagnoses but falter at differential diagnoses, highlighting the need for human oversight in healthcare. The researchers developed a novel measure, PrIME-LLM, to evaluate AI's clinical competency across different stages of reasoning.
Research uses AI to examine social exchanges and interactions
A new study analyzed thousands of textual descriptions of two-person social interactions using generative AI, resulting in a comprehensive taxonomy of categories. The findings provide a data-driven framework for understanding the structure of social situations, including associations with conflict, power, and duty.
Teens are becoming concerned about their attachment to AI chatbots
A Drexel University study found that teens are concerned about their attachment to AI chatbots, using them for emotional support and entertainment. The study suggests that these interactions can evolve into addiction-like behavior, affecting their lives offline.
Pharma.AI Spring Kickoff 2026: Drive the future of pharmaceutical intelligence
The event showcases the Pharma.AI ecosystem's new capabilities, including the MMAI Gym for Science, updates to PandaOmics, Generative Biologics, and Chemistry42. Researchers can learn how to access these tools and best practices for tackling challenging problems in human health.
Penn researchers use AI to surface unreported GLP-1 side effects in Reddit posts
Researchers identified patient-reported symptoms associated with GLP-1s, including menstrual changes, fatigue, and temperature-related complaints, that may not be fully captured in clinical trials or drug labeling. Nearly 4% of Reddit users reported reproductive symptoms, and fatigue was the second most common complaint.
Insilico’s breakthrough in cancer therapy: Discovering selective PKMYT1 inhibitors via sulfur-lone pair interactions
Researchers at Insilico Medicine have developed novel small molecular inhibitors and extremely selective PROTACs targeting the serine/threonine kinase PKMYT1. The discovery utilizes noncovalent interactions to achieve selectivity, masking hydrogen-bond donors that negatively affect permeability and solubility.
Insilico Medicine nominates ISM6200, a potential best-in-class selective NR3C1 inhibitor for ovarian cancer, Cushing’s Syndrome, hypercortisolism-associated obesity and glaucoma
ISM6200 is a potent, potentially best-in-class preclinical candidate targeting NR3C1 for the treatment of ovarian cancer, Hypercortisolism (Cushing’s Syndrome), and other disorders related to excess cortisol. The molecule demonstrates low DDI risks and higher in vivo efficacy across multiple animal models.
NTU Singapore empowers students to thrive in the AI economy
NTU Singapore aims to integrate AI into 40% of its undergraduate courses by 2030. Half will use personalized learning, while the other half will teach students how to build and deploy AI agents. Students will have access to Google's premium AI tools and computing credits to create their own agents.
Alliance marks Adolescent and Young Adult Cancer Awareness Week
The Alliance for Clinical Trials in Oncology is enrolling adolescent and young adult cancer patients in various trials, including genetic services and treatment studies. These trials aim to address longstanding gaps in care and improve outcomes for AYAs with cancer.
ACM AI Letters journal publishes first issue
The Association for Computing Machinery has published its inaugural issue of ACM AI Letters, a premier venue for rapid and timely AI research. The journal aims to bridge the gap between traditional conferences and journals, featuring short, peer-reviewed contributions that accelerate knowledge dissemination across academia and industry.
Insilico at AACR: Four innovative posters demonstrating the power of generative AI
Insilico Medicine will present four novel cancer inhibitors discovered via its Pharma.AI platform, targeting KRAS and Cbl-b pathways. ISM6166 and ISM3830 demonstrate robust anti-tumor activity against solid tumors with KRAS alterations and restored innate and adaptive immunity, respectively.
AI scribes linked to modest reductions in electronic health record use and clinical documentation time
A multi-site study found that AI scribes reduced electronic health record usage by 3% and clinical documentation time by 10%, with primary care physicians experiencing the greatest reductions. The technology also showed a slight increase in productivity, measured as 0.5 additional patient visits per week.
Artificial intelligence could transform patient education in eye care, new research shows
A new AI chatbot helps patients access retinal detachment advice through personalized, real-time, clinically grounded conversations. The system outperformed leading large language models and includes accessibility features for people with low vision or limited English proficiency.
AI companions can comfort lonely users but may deepen distress over time
Research from Aalto University reveals that long-term use of AI companions can provide temporary comfort, but may negatively impact users' wellbeing and ability to navigate human relationships. The study found increased signs of distress in online language after using an AI companion for two years.
Insilico Medicine announces global R&D collaboration with Lilly
Insilico Medicine and Eli Lilly partner to accelerate discovery of novel therapeutics using AI engine, focusing on preclinical development for certain indications. The collaboration aims to deliver transformative therapies for diseases with high unmet need.
Geneva becomes world’s capital of AI in July for ITU’s AI for Good Global Summit
The International Telecommunication Union (ITU) will host the seventh AI for Good Global Summit from 7 to 10 July 2026 at Geneva’s Palexpo convention centre. The summit aims to guide the future of artificial intelligence and unlock its potential to serve humanity.
Insilico Medicine and Tenacia Biotechnology expand AI-driven CNS collaboration with deal Value up to US $94.75 million
The companies are leveraging generative AI to develop innovative candidates for challenging neurological diseases, aiming to provide a broader range of therapeutic options. Insilico's Pharma.AI platform and Tenacia's expertise will continue to generate innovative solutions with strong translational potential.
Rice psychologists named APS Fellows for advancing research with real-world impact
Researchers Jing Chen and Simon Fischer-Baum at Rice University have made significant contributions to psychological science, focusing on human-AI interaction and literacy. Their work explores trust in automation, human performance limitations, and how people interpret risk, aiming to improve safety and efficiency across industries.
Insilico Medicine and ASKA Pharmaceutical expand partnership to discover novel targets for women’s health
The collaboration aims to identify therapeutic targets for challenging gynecological conditions using Insilico's AI-driven target identification engine, PandaOmics. ASKA will validate the AI-predicted targets with high translational potential, accelerating the development of innovative solutions for millions of patients worldwide.
New framework addresses privacy, dignity risks posed by modern ai systems
Researchers introduce the capabilities approach-contextual integrity (CA-CI) framework to address privacy and dignity risks in AI systems. The framework evaluates normative appropriateness of AI systems beyond narrow tasks and stable contexts, securing social life and human dignity.
Generative AI-powered forecasting for sustainable urban development
A new generative AI framework predicts future urban layouts considering multiple factors. The Memory-aware Multi-Conditional generation Network (MMCN) offers a novel approach to modeling complex urban evolution, providing a powerful tool for sustainable urban development.
New approach finds privacy vulnerability and performance are intertwined in AI neural networks
Researchers discovered that key weight parameters contribute to both performance and data-privacy vulnerabilities in AI neural networks. They developed a technique to balance these aspects, achieving better results than existing methods in defending against membership inference attacks.
Researchers pioneer new technique to stop LLMs from giving users unsafe responses
Researchers at North Carolina State University have identified key components in large language models that ensure safe responses to user queries. They've developed a new technique to improve LLM safety while minimizing the alignment tax, which allows AI systems to provide safe responses without affecting performance.
Can a specialized AI model steer doctors toward the right scan?
A specialized AI model, AMIR-GPT, has been developed to improve radiology guideline alignment, outperforming general purpose models in 33.3% of test responses. However, the model's performance varied across performance bands, and qualitative review revealed limitations, such as omissions and deviations from standard recommendations.
Teens using AI meal plans could be eating too few calories — equivalent to skipping a meal
A new study found that AI-generated meal plans for teenagers often underestimate total energy and key nutrient intake, leading to potential health risks. The plans tend to overemphasize protein and fat, while underestimating carbohydrates, which may negatively affect growth and metabolic health.
Report calls for AI toy safety standards to protect young children
A report calls for stricter regulation of AI toys to ensure 'psychological safety' in young children. The study found that AI toys often misread emotions, struggle with developmentally important play types, and pose concerns for social and pretend play.
How AI-generated images are detected: advances, benchmarks and open challenges
The study provides a systematic overview of AI-generated image detection, categorizing existing methods across multiple dimensions and evaluating their performance in a unified framework. Key challenges include constructing large-scale unbiased datasets, improving robustness, and increasing interpretability of detection outcomes.
AI assistants can sway writers’ attitudes, even when they’re watching for bias
Researchers at Cornell University found that AI writing tools can shift users' attitudes on societal issues, even when they're aware of the bias. The study involved over 2,500 participants who used biased AI writing assistants and saw their views gravitate toward the AI's positions.