research ARTIFICIAL INTELLIGENCE TECHNIQUES IN PREDICTION OF COVID-19 MORTALITY AND ITS RELATED FACTORS: A MULTI-CENTER STUDY
AI can effectively predict COVID-19 mortality risk using patient data.
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research Diagnostic applications and therapeutic option of Cascade CRISPR/Cas in the modulation of miRNA in diverse cancers: promises and obstacles
CRISPR/Cas systems show promise for cancer treatment by targeting miRNAs, but delivery and specificity challenges remain.
research Uncharted waters
New DNA analysis and machine learning are advancing forensic science, improving accuracy and expanding into non-human applications.
research Validation of International Classification of Diseases Codes for Dermatologic Conditions
ICD codes for skin conditions vary in accuracy, needing better validation for some common conditions.
research Wool fiber curvature is correlated with abundance of K38 and specific keratin‐associated proteins
Wool fiber curliness is linked to the presence of certain proteins and K38.
research Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings
Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.
research Utility of caffeine analysis for forensic hair discrimination
Caffeine in hair might help identify people, but it's not always reliable.
research Multiscale Morphological Reconstruction for Hair Removal in Dermoscopy Images
The method accurately detects and removes hair from skin images to improve melanoma diagnosis.
research Generative adversarial networks for anonymous acneic face dataset generation
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
research CRISPR–Cas9: A History of Its Discovery and Ethical Considerations of Its Use in Genome Editing
CRISPR-Cas9 allows precise DNA editing but raises ethical concerns about modifying human embryos.
research Epigenetic age estimation in saliva and in buccal cells
The model accurately predicts age from saliva and buccal cells for forensic use.
research “TRICHOASSIST” Trichogram Hair and Scalp Feature Extraction and Analysis Using Image Processing
"TRICHOASSIST" is a system that analyzes hair and scalp images to help diagnose scalp diseases.
research Case-Only Trees and Random Forests for Exploring Genotype-Specific Treatment Effects in Randomized Clinical Trials with Dichotomous End Points
Case-only trees and random forests improve predictions of treatment effects in clinical trials.
![Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Untested Compounds](/images/assets/6712367a-949f-47c7-a756-2bfe6316fc69/small/15331.jpg)
research Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Nontested Compounds
The research found a link between certain molecular features and the biological activity of BC3, which can help identify or create new active compounds.
research ANÁLISES COMPUTACIONAIS PREDITIVAS COMO UM NOVO BIOPODER: MODIFICAÇÕES DO TEMPO NA SOCIEDADE DOS SENSORES
Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.
research Prediction of gain-of-function and loss-of-function mutations using Combined Annotation Dependent Depletion (CADD)
C-scores can help predict gain-of-function and loss-of-function mutations.
research De novo variation in ARID1B gene causes Coffin-Siris syndrome 1 in a Chinese family with excessive early-onset high myopia
A new ARID1B gene variation causes Coffin-Siris syndrome 1 and early high myopia in a Chinese family.
research Clinical diagnosis of COVID-19: a prompt, feasible, and sensitive diagnostic tool for COVID-19 based on a 1,757-patient cohort (The AndroCoV Clinical Scoring for COVID-19 diagnosis).
The AndroCoV Clinical Scoring is a quick, affordable, and accurate method for diagnosing COVID-19.
research A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research An Expert System for Clinical Risk Assessment of Polycystic Ovary Syndrome under Uncertainty
The document concludes that the new expert system can assess the risk of PCOS effectively despite uncertainties in diagnosis.
research A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
research Kaleidoscope
Countries with stricter cultures had fewer COVID-19 cases and deaths, paranoia is linked to false memories, psychosocial intervention works as well with or without antipsychotic drugs for young people with psychosis, smartphones can detect changes in behavior indicating illness relapse, and recruitment agents show regional and gender biases.
research iPrimer-seq: A Streamlined and Cost-Effective Early-Barcoding 3'-End Rna-Seq Method for Transcriptome Profiling from Limiting Cell Inputs
research Forensic DNA phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges like inconsistent terms and limited genetic knowledge.
research Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study
A machine-learning test using hair can help detect autism early in infants.
research An algorithmic approach to scalp reconstructive surgery: maximization of cosmetic and functional outcomes
The approach improves scalp surgery results by tailoring techniques to defect size and location.
research Evaluation of loci to predict ear morphology using two SNaPshot assays
Genetic markers can help predict ear shapes for forensic use.
research scMC learns biological variation through the alignment of multiple single-cell genomics datasets
scMC effectively separates biological signals from technical noise in single-cell genomics data.
research Derivation and validation of the Systemic Lupus International Collaborating Clinics classification criteria for systemic lupus erythematosus
The new SLICC criteria for diagnosing lupus are more sensitive and accurate than the old criteria.