Latest AI and machine learning research in fda general for healthcare professionals.
Developing effective visual inspection models remains challenging due to the scarcity of defect data. While image generation models have been used to synthesize defect images, producing highly realistic defects remains difficult. We propose DefectFill, a novel method for realistic defect generation that requires only a few reference defect images. It leverages a fine-tuned inpainting diffusion m...
Foundation models - models trained on broad data that can be adapted to a wide range of downstream tasks - can pose significant risks, ranging from intimate image abuse, cyberattacks, to bioterrorism. To reduce these risks, policymakers are starting to impose obligations on the developers of these models. However, downstream developers - actors who fine-tune or otherwise modify foundational mode...
Precision therapeutics require multimodal adaptive models that generate personalized treatment recommendations. We introduce TxAgent, an AI agent th...
Cancer survivors face unique emotional challenges that impact their quality of life. Mobile diary entries provide a promising method for tracking em...
Visual Quality Inspection plays a crucial role in modern manufacturing environments as it ensures customer safety and satisfaction. The introduction...
This paper introduces and tests a framework integrating traffic regulation compliance into automated driving systems (ADS). The framework enables AD...
Network pharmacology (NP) explores pharmacological mechanisms through biological networks. Multi-omics data enable multi-layer network construction ...
Generative AI is frequently portrayed as revolutionary or even apocalyptic, prompting calls for novel regulatory approaches. This essay argues that ...
Thin-film inspection on large-area substrates in coating manufacture remains a critical parameter to ensure product quality; however, extending the ...
Automatic visual inspection using machine learning-based methods plays a key role in achieving zero-defect policies in industry. Research on anomaly...
Automated defect detection in industrial manufacturing is essential for maintaining product quality and minimizing production errors. In air disc br...
Predicting clinical outcomes from preclinical data is essential for identifying safe and effective drug combinations. Current models rely on structu...
Cancer is a major public health problem while liver cancer is the main cause of global cancer-related deaths. The previous study demonstrates that the...
Eutrophication is one of the most relevant concerns due to the risk to water supply and food security. Nitrogen and phosphorus chemical species concen...
For years, a main focus of ecological research has been to better understand the complex dynamical interactions between species that comprise food web...
This study aims to demonstrate that text phrase-mining and natural language processing (NLP) can annotate huge quantities of obstetrics textual data f...
Whether and how to regulate AI is one of the defining questions of our times - a question that is being debated locally, nationally, and internation...
Reasoning is a critical frontier for advancing medical image analysis, where transparency and trustworthiness play a central role in both clinician ...
This paper addresses the problem of satellite inspection, where one or more satellites (inspectors) are tasked with imaging or inspecting a resident...
Educational technologies are revolutionizing how educational institutions operate. Consequently, it makes them a lucrative target for breach and abu...