Results 31 to 40 of about 299,509 (268)

FunduScope: a human-centered, machine learning–based interactive tool for training junior ophthalmologists in diabetic retinopathy detection

Frontiers in Big Data
Interpreting fundus images is an essential skill for detecting eye diseases, such as diabetic retinopathy (DR), one of the leading causes of visual impairment. However, the training of junior doctors relies on experienced ophthalmologists, who often lack
Sara-Jane Bittner, Michael Barz, Michael Barz, Daniel Sonntag, Daniel Sonntag   +4 more
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Submodularity In Machine Learning and Artificial Intelligence

CoRR, 2022
In this manuscript, we offer a gentle review of submodularity and supermodularity and their properties. We offer a plethora of submodular definitions; a full description of a number of example submodular functions and their generalizations; example discrete constraints; a discussion of basic algorithms for maximization, minimization, and other ...
openaire   +3 more sources

From patient advocacy to patient‐driven research: Building active partnerships beginning at the bench to reach the bedside

FEBS Open Bio, EarlyView.
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia, Rachel Heilmann, Maximiliano Barrientos, Laura MacNeill, Ingrid Vallee, Sarah K. Schultz, Patrick O'Donoghue, Angelica A. Moresco, Victoria M. Siu, Ilka U. Heinemann   +9 more
wiley   +1 more source

FloBlocks: an affordable and extensible tool for tangible block programming in education

Discover Education
High costs often restrict access to programming education, especially in underserved communities. To address this, we introduce FloBlocks, a novel, low-cost educational tool that integrates tangible flowchart programming with computer vision.
Devansh Rathor, Gaurav Mehta, Advika Lad, Ragini Mishra, Aruna Gawade   +4 more
doaj   +1 more source

Enhanced Traffic Prediction Using Spatial–Temporal Graph Neural Networks

IEEE Access
The ability to forecast traffic conditions in urban environments is essential for intelligent transport systems because it provides proactive congestion management, traffic control and informed urban mobility planning. However, due to the extreme spatial
Akarsh Kumar, Aishwarya Sinha, Yadvendra Pratap Singh   +2 more
doaj   +1 more source

Evaluating GenAI‐produced feedback on undergraduate bioscience essays against good higher education feedback practice

FEBS Open Bio, EarlyView.
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court, Nigel Francis, Andrew Shore, Stephen Rutherford   +3 more
wiley   +1 more source

I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data

Scientific Reports
Comprehending how humans process visual information in dynamic settings is crucial for psychology and designing user-centered interactions. While mobile eye-tracking systems combining egocentric video and gaze signals can offer valuable insights, manual ...
Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag   +7 more
doaj   +1 more source

MedInsight Pro: An Explainable Hybrid NLP and LLM Fusion Framework for Radiology Report Interpretation

IEEE Access
Radiology reports are often unstructured, containing ambiguous phrases and negations that make automated interpretation difficult. This paper introduces MedInsight Pro, a hybrid clinical NLP (Natural Language Processing) framework that fuses ...
Somesh Nandi, Keerti Patil, Kota Vishnu Datta, M. Jaswanth Reddy   +3 more
doaj   +1 more source

Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology

Machine Learning and Knowledge Extraction, 2021
Machine learning is an established and frequently used technique in industry and academia, but a standard process model to improve success and efficiency of machine learning applications is still missing.
Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters, Klaus-Robert Müller   +6 more
doaj   +1 more source