Results 51 to 60 of about 1,888,792 (317)
Brain Sciences, 2022 Facial expression processing mainly depends on whether the facial features related to expressions can be fully acquired, and whether the appropriate processing strategies can be adopted according to different conditions.
Kun Zhang +5 more
doaj +1 more source
Artificial intelligence/machine learning in diabetes care
Indian Journal of Endocrinology and Metabolism, 2019 Artificial intelligence/Machine learning (AI/ML) is transforming all spheres of our life, including the healthcare system. Application of AI/ML has a potential to vastly enhance the reach of diabetes care thereby making it more efficient. The huge burden of diabetes cases in India represents a unique set of problems, and provides us with a unique ...
Rajiv Singla +3 more
openaire +3 more sources
Artificial intelligence in teaching and learning: what questions should we ask of ChatGPT?
Interactive Learning Environments, 2023 The recent release of ChatGPT, a fl exible and accessible form of arti fi cial intelligence, raises a multitude of questions for those of us interested in interactive learning environments.
Pericles 'Asher' Rospigliosi
semanticscholar +1 more source
Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system
FEBS Open Bio, EarlyView.An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková +3 more
wiley +1 more source
IEEE AccessRadiology 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 +3 more
doaj +1 more source
Artificial intelligence and machine learning in haematology [PDF]
British Journal of Haematology, 2019 Artificial intelligence (AI) and Machine Learning (ML) are trending topics. AI is a broad term that represents the general concept of machines being able to carry out decision-making and perform human-like complex tasks, such as problem solving, understanding languages, recognizing voices and images and other “smart” tasks.
openaire +2 more sources
Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
UrbanBlocks 3-D: A Genetic Algorithm-Based Semantic Zoning Framework for Smart Cities
IEEE AccessUrban planning faces critical challenges with 68% of the global population projected to live in cities by 2050, requiring intelligent zoning solutions for sustainable development.
Somesh Nandi +3 more
doaj +1 more source
Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Molecular diversity, 2021 Drug designing and development is an important area of research for pharmaceutical companies and chemical scientists. However, low efficacy, off-target delivery, time consumption, and high cost impose a hurdle and challenges that impact drug design and ...
Rohan Gupta +5 more
semanticscholar +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu +11 more
wiley +1 more source