When AI Decides Who Counts as Human: The New Crisis of Recognition
A new philosophy paper argues that AI systems now participate in social recognition, and their failures constitute three forms of ...
Tag: predictive modeling
AI Models Predict Fresh Food Supply Chain Resilience
A new study in Scientific Reports introduces a hybrid framework using variable fuzzy sets and convolutional neural networks to assess ...
AI Model Flags Pancreatic Cancer Risk Up to Three Years Before Diagnosis
Mayo Clinic researchers developed an artificial intelligence model that uses routine electronic health record data to predict pancreatic cancer risk ...
AI Model Spots Depression Risk in Gay and Bisexual Men Using Minority Stress Signals
An interpretable machine learning model built on the Minority Stress Model identified depression risk among men who have sex with ...
AI Reads Breast MRI to Predict Whether Chemotherapy Has Cleared the Lymph Nodes
A deep learning model that reads multiregional contrast-enhanced breast MRI can predict whether chemotherapy has completely cleared the axillary lymph ...
Harnessing massive climate data for enhanced risk prediction: a GA-optimized LSTM and XGBoost hybrid approach
Climate change is no longer a distant threat but a present-day reality that manifests through increasingly frequent and severe extreme ...
Neural Network Sharpens Early Drug Discovery With 95.9% Accuracy in Predicting Painkilling Compounds
Researchers in Algeria have built an optimized neural network that predicts the analgesic activity of drug-like molecules with 95.9 percent ...
Machine Learning Is Rewriting the Design of Implantable Drug Delivery Systems
A new review details how machine learning is accelerating the design of implantable drug delivery systems, from ocular and cochlear ...
Global Arbovirus Models Miss Africa, Creating a Critical Surveillance Blind Spot
A new perspective argues that the systematic underrepresentation of African surveillance data in global arbovirus modeling distorts risk prediction and ...
How AI and Machine Learning Are Rewiring the Search for New Drugs
Machine learning is accelerating target identification, toxicity prediction and drug repurposing, but researchers insist algorithmic discoveries still demand rigorous experimental ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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