Articles tagged with Generative Ai
At CPIC 2026, Insilico Medicine's Dr. Alex Zhavoronkov and Dr. Feng Ren presented on their approach to AI-driven life sciences, leveraging the Pharma.AI platform for agile translation and closed-loop validation. The duo emphasized the importance of technological breakthroughs and clinical validation in shaping the future of R&D.
The European Law Institute has approved its first comprehensive framework for dealing with digital assets and personal digital content after death. The rules provide a dual legal framework recognizing the need for protection, privacy, and dignity in digital inheritance.
A recent study found that patients perceive medical professionals as more credible when AI agrees with their diagnosis. However, disagreement can increase perceptions of medical uncertainty and doctor laziness. The researchers suggest strategies to communicate AI disagreement effectively and reduce patient mistrust.
A team of researchers from the University of Cambridge and UC Santa Barbara developed 'adversarial' mathematical systems to map out where AI prediction breaks down. They identified two main reasons why machine learning fails: algorithmic limitations and hidden patterns in complex systems.
The strategic alliance combines Insilico's Pharma.AI platform with Bora's global capabilities to explore a next-generation drug innovation model. The partnership aims to accelerate Bora's transition towards AI-driven drug discovery and development, leveraging Insilico's comprehensive research and development strategies.
A study published by University of Cincinnati associate professor Nelly Elsayed highlights the importance of human review in AI-driven physicians' documentation to ensure transparency, privacy, and reliability. The research also emphasizes the need for clinicians to be trained on software before adoption to curb errors.
Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs. The new approach identifies model variations that can generate CSAM with 100% accuracy.
The collaboration aims to advance co-development of R&D programs by combining Insilico's validated AI platform with CMS's therapeutic expertise. The partnership enables the development of innovative drugs for central nervous system conditions, streamlining the process and accelerating delivery of clinically meaningful innovations.
A study from Technical University of Munich found that people perceive AI hiring decisions as unfair when the avatar resembles them in terms of gender or skin color. After receiving a rejection, trust in AI is shaken if the avatar's appearance differs from their own.
Deep learning models accelerate drug design, predict chemical interactions, and engineer stable candidates. AI-powered simulations optimize dosimetry, predicting biodistribution and generating patient-specific digital twins for individualized treatment planning.
Insilico Medicine will deliver a keynote speech and participate in a panel discussion on the future of drug discovery with generative AI. The company showcases its innovative approach to accelerating drug development, compressing timelines and enabling sustainable growth.
A team of researchers, led by Ying Zhang, has developed artificial intelligence-driven tools to identify and attack software vulnerabilities. By teaching AI to generate proof-of-concept exploits, developers can see exactly how attackers could exploit known flaws, motivating them to fix issues before malicious actors do.
Researchers at the University of Pennsylvania and Chinese University of Hong Kong created TD3B, an AI framework guiding peptide generation toward candidates predicted to have a desired effect. The tool predicts binding likelihood and determines activation or deactivation of associated cellular machinery.
A new UGA study found that AI chatbots often provide recommendations that are inconsistent across generative AI platforms and may vary by sociodemographic groups. The researchers created three hypothetical scenarios of people who needed advice on emergency funds, investment portfolios, and retirement savings, which were entered into se...
A team from Singapore University of Technology and Design has developed an AI agent that uses artificial intelligence to help patients make life-or-death decisions. The system, called ACPAgent, was tested with 15 participants who agreed with its recommendations in 86.7% of cases, but also showed limitations in handling high-subjectivit...
Research reveals that digital romances can mimic human stages, including exploration, emotional connection, break-ups, and even simulated weddings and pregnancies. Participants shared intimate details and attributed autonomy to their AI partners, raising concerns about privacy and data protection.
Rentosertib is a potentially first-in-class oral small-molecule inhibitor targeting TNIK for the treatment of idiopathic pulmonary fibrosis. The Phase III clinical trial will evaluate the efficacy and safety of once-daily Rentosertib administered over 52 weeks.
Researchers warn that AI faces are becoming increasingly trustworthy, with the latest diffusion model outperforming earlier models. This poses significant risks of online fraud and erosion of trust in society, as people become more susceptible to fake faces used for nefarious purposes.
A new learning-based adaptive tuning method integrates chaotic search with particle swarm optimization to improve stability and solution quality in chaotic search algorithms. The approach consistently achieves better results than conventional methods, providing a practical means of enhancing the performance of chaotic search.
The collaboration aims to develop AI-powered ground systems that can assist operators with routine satellite operations, mission scheduling, and data analysis. The partnership seeks to automate routine tasks with human oversight, enabling more efficient management of larger satellite fleets.
A large-scale study of an online patient portal shows that AI-generated responses can introduce errors and extraneous details, leading to increased editing time for physicians. Adapting AI to individual physician communication styles can improve accuracy by 33% and reduce editing by 26%.
Insilico Medicine has expanded its generative AI capabilities through a strategic collaboration with Liquid AI, yielding models optimized for retrosynthesis and multi-omics target discovery. The company's platform upgrades enable enterprise-grade automation, parallel simulation, and precision sifting in biologics design.
A new study reveals that large language models can systematically alter the direction of users' messages on contested topics, even when instructed to preserve the original meaning. The researchers show how these small changes can accumulate and gradually influence broader public opinion over time.
Researchers warn that teens' reliance on AI chatbots may bypass opportunities for developing essential relationship skills. The technology offers immediate, nonjudgmental guidance but lacks needed safeguards, potentially reinforcing unhealthy relationship patterns and increasing vulnerability to mental health problems.
Researchers from Fisabio and the Universitat Jaume I developed a set of ten recommendations to promote responsible use of generative artificial intelligence in nursing research. The study warns of potential risks, including hallucination, biases, and oversimplification of complex phenomena.
Generative AI is transforming pharmaceutical RÝ into a highly efficient, end-to-end new era. Insilico Medicine has accumulated extensive experience in AI-driven drug discovery, sharing breakthroughs and latest advancements in molecular design, multi-target synergy, and clinical translation success rates.
The rise of AI-generated content threatens authenticity in the clinical landscape, from AI chatbot impersonations to deepfakes of real physicians. Existing laws and regulations are struggling to keep pace with these emerging challenges.
A large clinical trial found that an AI support tool improved the quality of clinical documentation and treatment planning, but did not significantly change short-term patient outcomes. The study involved over 9,600 patients in Kenya and used a randomized controlled design to test the effectiveness of the AI tool.
The study successfully integrates probabilistic sampling and deterministic computation in generative AI hardware within a single ferroelectric memory array. The technology enables the generation of diverse images reflecting facial attributes, improving area and power efficiency in applications.
The UN has launched an initiative calling on AI companies to publicly disclose their environmental impacts, including carbon, water and land footprint. The move comes after a report highlighted the massive electricity demand and environmental impacts of AI systems.
Thomas Pock's ERC Advanced Grant aims to develop novel generative learning methods and algorithms for computer vision, improving medical imaging by understanding and realistically generating images. The project seeks to establish a close link between data analysis and generation.
Insilico and SK Biopharmaceuticals collaborate on AI-powered drug discovery for neuroimmune disorders, aiming to accelerate discovery timelines and advance next-generation therapies. The partnership could be worth up to $2.5 billion, with Insilico receiving upfront and milestone payments.
Researchers create PhishLumos AI system to detect phishing campaigns by analyzing infrastructure clues, achieving 8-day faster detection than experts. The system uncovered over 190,000 new links, with 92% later flagged as malicious, outperforming content-centric approaches.
Insilico Medicine is revolutionizing preclinical drug development through its AI and automation platform, reaching PCC nomination in just 12-18 months. The company has nominated 31 PCCs since 2021, with 13 receiving IND approval or clearance.
The ACM Technology Policy Council's TechBrief examines agentic AI's legal liability, security risks, and workforce impacts. Existing frameworks fall short in addressing accountability questions, highlighting the need for defined authentication and delegation standards, robust audit trails, and sector-specific guidance.
Researchers warn that open-source AI could increase environmental pressures, deepen technological inequalities, and spread misinformation. To mitigate these risks, the authors propose four governance actions to ensure AI contributes positively to the Sustainable Development Goals.
Researchers found that friendly, choice-oriented language in AI chatbots boosts patient engagement, while aggressive phrasing and blurred human-AI boundaries put them off. Patients appreciate personalized interactions, but are wary of data security concerns.
Researchers from UMass Amherst have developed a new AI architecture called ANT that enables continuous learning and reduces energy consumption by orders of magnitude. Unlike human brains, which operate asynchronously, modern deep neural networks rely on synchronized computations, leading to high energy demands.
Participants trusted AI more for large-scale scanning tasks like identifying red flags in social media posts, while trusting humans for nuanced fact-checking requiring piecing together evidence. The findings suggest that effective fact-checking tools should provide accurate results and explain how they're reached.
A new study found that AI-powered chatbots can make vaccine-hesitant parents more likely to say they will immunize their children against HPV, but no more than standard written public health materials. Additionally, the effects of the chatbots did not last longer than those of government health materials.
Jue Wang joins Insilico Medicine as Global Head of Business Development to drive high-value alliances and empower commercial growth. She brings expertise in small-molecule novel drug discovery and has led landmark collaborations worth USD 4 billion.
The global data centers powering artificial intelligence are projected to consume nearly triple the combined annual electricity use of Pakistan, Bangladesh, and Nigeria by 2030. AI's environmental cost is being systematically mismeasured, with its water footprint equaling the basic annual domestic water needs of all 1.3 billion people ...
The investigation highlights the lack of research on AI toys' impact on early cognitive and socioemotional development, while also raising concerns over security risks and potential harm to minors. Experts advocate for mandatory labeling and regulation to ensure safer deployment of these devices.
Binghamton University researchers have developed a new way to reduce troublesome fake information in AI chatbots, with high accuracy in identifying disease terms and drug names. The protocol harnesses multiple large language models to verify answers through 'voting', increasing confidence in the results.
Researchers at IRB Barcelona used AI to design new chemical entities that selectively target specific cell types, demonstrating superior activity compared to conventional screening strategies. The methodology, called phenotypic discovery, uses observable responses in cells rather than a specific molecular target.
A nationally representative survey of US adolescents and young adults found that a fifth used AI chatbots for mental health advice. Proactive discussion with parents and clinicians about chatbot use is necessary to promote safety and linkages to evidence-based care.
A new framework, SUVA, enables organizations to measure and adjust AI chatbots' social preferences, improving their performance in customer complaints and other human-AI interactions. By understanding an LLM's existing tendencies, organizations can decide whether an available model already fits its values and usage scenarios.
A new study shows AI can generate hundreds of convincing finance research papers efficiently, but also raises concerns about the potential impact on academic community and meaning of scientific discovery. The study demonstrates how AI can accelerate research paper production while highlighting areas for improvement in peer-review systems.
A recent study found that AI-powered chatbots can provide accurate information in 76.2% of healthcare-related questions, with specialties like obstetrics and gynecology performing best. However, internal medicine, neurology, and dermatology saw lower accuracy rates, with risks of harm associated with incorrect responses.
The collaboration aims to jointly develop a super-intelligence AI foundation model to predict disease risk, diagnose conditions, and discover novel therapeutics. By integrating advanced algorithms with deep biological insights, the models are expected to drive breakthroughs in early detection and personalized interventions for age-rela...
Zhe Zhu's doctoral dissertation reveals that trusting AI can increase work engagement and build more sustainable careers. GenAI tools can reshape organisational decision-making and employee experiences of work.
A Virginia Tech study found that AI image generators consistently produce more realistic and recognizable images of larger metropolitan areas than smaller towns. The research raises questions about how generative artificial intelligence tools portray places and whose communities are most visible online.
A new Frontiers in Science article explores how AI can accelerate scientific discovery in soil science by creating digital soil twins and trialing climate adaptation strategies. Researchers will discuss the potential of multi-agent AI systems to enable autonomous hypothesis generation, experimental design and data analysis during a fre...
A study of Rwandan young adults reveals modest strengths in some areas of digital financial literacy but significant gaps, particularly in cybersecurity practices and use of financial products. Disparities were found by gender and education level, with men and higher-educated individuals showing more knowledge and skills.
Researchers used top Generative AI models to grade hundreds of undergraduate essays, finding that AI only matched human-awarded degree classification around half the time. The AI systems were overly sensitive to linguistic features, giving out higher marks based on essay length and vocabulary range rather than academic quality.
A new study highlights the potential of AI tools in soil science, enabling researchers to better understand soil ecosystems and adapt to climate change. The system successfully generated hypotheses on how soils store carbon and what controls their storage limits, with outputs aligning with expert research.
A recent study found that one-third of college students use generative AI to complete assignments, with 9% using it to cheat. The use of AI in higher education has sparked concerns about the validity of assessments and the credibility of university credentials. Researchers are urging assessment reform to address these issues.
A new AI system, Empirical Research Assistance (ERA), can automatically write scientific software programs that outperform human-written ones. ERA combines a large language model with search strategies to explore and refine thousands of pieces of code, reducing the time required for exploration from months to hours or days.
A new report from Brookings Institution highlights the federal government's growing use of AI, but also notes significant disparities and bottlenecks to widespread adoption. Large agencies lead the way, while smaller agencies struggle with workforce capacity and trust issues.
A new study from UC San Diego suggests that advanced large language models (LLMs) can exhibit human-like tone, humor, and fallibility in conversations, making it increasingly difficult for humans to distinguish between them and actual humans. This has major implications for how we think of AI, as the Turing test is no longer just about...