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Good Space a ranking of the record

TheGood surrounding AI

574 documented gains are on the board. 82% rest on at least one peer-reviewed study, and 8% clear the high-evidence bar. Health carries 49% of it. The latest was filed Oct 16, 2026.

Every gain on the board, one square each, shaded by the strength of its evidence. High 45 Moderate 529 Emerging 0
574 results
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The board · page 16 of 20

451
Evidence-backed gainPeer-reviewedHealth

AI-optimized monoclonal antibody GB-0669 was safe and well-tolerated in healthy adults with dose-proportional pharmacokinetics and a 54-day half-life and dose-dependent serum live virus neutralization.

Source article: Randomized, Double-Blind, Placebo-Controlled First-in-Human Trial of a First-in-Class AI-Designed Monoclonal Antibody (GB-0669) Against the Conserved SARS-CoV-2 Spike S2 Stem Helix

The Journal of Infectious Diseases
Reader signal

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452
Evidence-backed gainPeer-reviewedHealth

Machine learning screening identified MMP1, CXCR7, and TPST1 and built a NET-inflammation-associated model that predicted prognosis for idiopathic pulmonary fibrosis patients.

Source article: Comprehensive analysis of neutrophil extracellular traps-associated inflammatory genes for patients with idiopathic pulmonary fibrosis

Molecular Genetics and Genomics
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453
Evidence-backed gainPeer-reviewedEducation

Three elementary students with dyslexia improved from low baseline reading comprehension to mastery and maintained gains after GenAI-based visual instruction using ChatGPT-generated visuals aligned to their Arabic coursebook.

Source article: The effects of AI-based visual instruction on the reading comprehension of students with dyslexia in Saudi Arabia: a single-case experimental study

Frontiers in Education
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454
Evidence-backed gainPeer-reviewedHealth

Machine learning-derived metabolic age from urinary NMR metabolites tracks longitudinal aging trajectories and predicts incident diseases and mortality beyond chronological age.

Source article: Urinary Metabolic Age from High-Resolution NMR Reveals Longitudinal Aging Patterns

The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
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456
Evidence-backed gainPeer-reviewedScience

ApexGO generated optimized peptide derivatives that showed enhanced antimicrobial activity in vitro and potent anti-infective efficacy in mouse models of Acinetobacter baumannii infection.

Source article: A generative artificial intelligence approach for peptide antibiotic optimization

Nature Machine Intelligence
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457
Evidence-backed gainPeer-reviewedLabor

Among 12,562 Kazakhstan civil servants, access to modern digital tools and managerial position increased active AI adoption in public-sector HRM.

Source article: Determinants of Artificial Intelligence Adoption in Public Sector Human Resource Management: Empirical Evidence from Kazakhstan

Administratie si Management Public
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458
Evidence-backed gainPeer-reviewedPolicy

Among active social media users in Kazakhstan, perceiving algorithmic personalization was under certain conditions associated with a higher sense of control over information choices.

Source article: Artificial intelligence and social media as new arenas of political competition: challenges for democracy

Frontiers in Political Science
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459
Evidence-backed gainPeer-reviewedClimate

Hybrid framework using Binary iHow for feature selection and iHow for hyperparameter tuning of a Multi-Scale Attention Network reduced forecasting error for wind and solar generation and improved computational scalability for smart-grid management.

Source article: Optimizing solar and wind forecasting with iHow optimization algorithm and multi-scale attention networks

Scientific Reports
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460
Evidence-backed gainPeer-reviewedScience

Integrating Shuffled Frog Leaping Algorithm optimization with Boosted Trees and QSVM classifiers improved discrimination of argillic, phyllic, propylitic and iron oxide alteration zones from ASTER and Sentinel-2 data, raising AUC and achieving strong field validation.

Source article: Metaheuristic-optimized machine learning framework for remote sensing-based alteration mapping of porphyry copper systems

Scientific Reports
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461
Evidence-backed gainPeer-reviewedEducation

Students reported significantly lower anxiety during AIvaluate-mediated performance-based assessments compared to traditional face-to-face assessments, with usability rated in the good range.

Source article: Exploring student anxiety and experience in performance-based assessments using AIvaluate: an LLM-augmented emotionally intelligent pedagogical AI conversational agent

Educational technology research and development
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462
Evidence-backed gainPeer-reviewedEducation

AI use was associated with strong perceived gains in educational support through enhanced and personalized learning environments, and in emotional and mental well-being.

Source article: THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON HUMAN BEHAVIOR AND WELL-BEING: AN EMPIRICAL STUDY

ShodhAI: Journal of Artificial Intelligence
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463
Evidence-backed gainPeer-reviewedScience

The integrated ACME framework increased ship fuel consumption prediction accuracy and generalisation, outperforming mainstream models and providing data-driven tools for energy efficiency management and decarbonisation in maritime transport.

Source article: An integrated method of advanced optimisation and adaptive ensemble learning for ship fuel consumption prediction

Transportation Research Part C: Emerging Technologies
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464
Evidence-backed gainPeer-reviewedHealth

In a real-world care facility test by April 2026, the ZigBee-based AI telehealth framework monitoring elderly and chronically ill patients achieved 95% accuracy with 100% recall for health discrepancy detection while operating at 120 ms transmission delay and 3.8 mW/h power consumption.

Source article: ZigBee Based Low Latency IoT and AI Integrated Framework for Real Time Telehealth Monitoring

Emerging Science Journal
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465
Evidence-backed gainPeer-reviewedPolicy

In benchmark experiments reported by May 2026, the unified framework increased supply chain disruption-prediction accuracy to 94.1%, reduced demand-forecast error, and raised marketing campaign ROI from 14.2% to 45.3%.

Source article: AI-Driven Predictive Analytics for Supply Chain Resilience, Financial Risk Management, and Digital Marketing Strategy: A Unified Business Intelligence Framework

Journal of Business and Management Studies
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466
Evidence-backed gainPeer-reviewedHealth

Co-design workshops with 32 young people generated system requirements for reconceptualising the professional-focused Mia genAI chatbot for young consumers and integrating it into Australian youth services, with potential to benefit youth mental health.

Source article: Young people’s perceptions and recommendations for conversational generative artificial intelligence in youth mental health

npj Digital Medicine
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467
Evidence-backed gainPeer-reviewedHealth

A Random Forest model trained on linguistic, emotional, cognitive, behavioral and temporal features from Weibo posts predicted Self-Rating Anxiety Scale scores among consenting Chinese college students with R2 0.77 on the test set.

Source article: Leveraging social media footprints for predicting college student anxiety: a machine learning approach

BMC Psychology
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468
Evidence-backed gainPeer-reviewedScience

SparksMatter autonomously executed the full in-silico discovery cycle from ideation to iterative refinement and proposed novel stable inorganic candidates meeting target objectives in thermoelectrics, semiconductors, and perovskite oxides, with blinded evaluation showing higher relevance and novelty than frontier basel

Source article: Autonomous in-silico inorganic materials discovery via multi-agent physics-aware scientific reasoning

npj Computational Materials
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469
Evidence-backed gainPeer-reviewedLifestyle

Young immigrant men aged 21-35 in Helsinki used generative AI tools like ChatGPT and Gemini to lower language and knowledge barriers while searching recipes, adapting dishes to cultural or religious preferences, and learning cooking techniques.

Source article: Platformed Foodways in Helsinki: Young Immigrant Men, AI Tools, and “Networked Eating”

Social Inclusion
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470
Evidence-backed gainPeer-reviewedHealth

In a survey of 241 people with MS, respondents reported higher comfort with AI when used for low-risk supportive roles like chronic management and symptom screening, with most preferring a joint model where clinicians retain final responsibility.

Source article: Exploring attitudes and acceptance of artificial intelligence in multiple sclerosis from the patient perspective

PLOS Digital Health
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471
Evidence-backed gainPeer-reviewedEducation

ChatGPT can enhance productivity and deliver significant gains for organizations in banking, hospitality and tourism, and information technology.

Source article: Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

International Journal of Information Management
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475
Evidence-backed gainJournalismHealth

An interpretable model built on augmented data and real participant data from a culturally adapted assessment identified contributing factors such as self-blame, loneliness, and family pride to prompt culturally safe clinical discussion.

Source article: The world’s oldest living culture leads the way with interpretable generative AI: Aboriginal women shaping the future of perinatal mental health services

PLOS (Public Library of Science)
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