Research papers explained - video, summaries, flashcards, quizzes and mind maps.
Pharmaceutical Science
This review examines the transformative impact of artificial intelligence (AI) across the entire drug discovery and development continuum, addressing traditi...
Start Learning →Pharmacology & Biotechnology
Artificial Intelligence (AI) has emerged as a transformative technology in drug discovery, addressing the high costs and lengthy timelines associated with tr...
Start Learning →Computational Biology
AlphaFold is a novel deep learning system that predicts 3D protein structures with atomic accuracy from amino acid sequences. It integrates biological and ph...
Start Learning →Molecular Biology
Real-time quantitative PCR (RT-qPCR) is a widely used method in molecular biology to quantify gene expression through either absolute copy number determinati...
Start Learning →Particle Physics
This paper presents the search for the Standard Model Higgs boson in proton–proton collisions at the Large Hadron Collider using the ATLAS detector. The se...
Start Learning →Natural Language Processing
BERT (Bidirectional Encoder Representations from Transformers) is a language representation model designed to pre-train deep bidirectional representations fr...
Start Learning →Deep Learning
This paper proposes Generative Adversarial Networks (GANs), a novel framework for estimating generative models via an adversarial process. The framework simu...
Start Learning →Cell Biology & Oncology
Cancer research over past decades has revealed a complex biological landscape driven by dynamic genetic alterations within tumor cell genomes. Authors Dougla...
Start Learning →Health and Nutrition
This workshop summary details a two-day public session convened by the Food Forum of the Institute of Medicine in 2012 to explore emerging knowledge regardin...
Start Learning →Deep Learning
This seminal paper introduces a large, deep convolutional neural network (CNN) designed to classify 1.2 million high-resolution images into 1,000 distinct ca...
Start Learning →Genomics
This seminal paper details the production and initial analysis of a draft sequence of the human genome by an international consortium. The researchers employ...
Start Learning →Labor Economics
This research paper by Maxim Massenkoff and Peter McCrory introduces 'observed exposure,' a novel metric designed to quantify the actual integration of AI in...
Start Learning →Environmental Engineering
This paper explores the urgent need to integrate Earth System Models (ESMs) with biodiversity and ecosystem function modeling to address the 'climate and nat...
Start Learning →Vaccinology
This research paper investigates the critical interplay between mRNA nucleoside modification and the chemical composition of lipid nanoparticle (LNP) deliver...
Start Learning →Stem Cell Biology
Direct reprogramming of differentiated human somatic cells into a pluripotent state enables the generation of patient- and disease-specific stem cells. In th...
Start Learning →Molecular Biology
This landmark study identifies the mechanism of Type II CRISPR/Cas systems, demonstrating that the Cas9 protein functions as a dual-RNA-guided DNA endonuclea...
Start Learning →Machine Learning
Leo Breiman introduces Random Forests, an ensemble machine learning paradigm combining tree-structured base classifiers grown using randomly sampled input ve...
Start Learning →Public Sector Innovation
This research proposes SkillChain DX, a policy-driven framework designed to bridge the gap between digital learning and strategic workforce restructuring wit...
Start Learning →Machine Learning
This paper introduces the Transformer, a novel network architecture for sequence transduction tasks that dispenses entirely with recurrence and convolutions....
Start Learning →Computer Vision / Biomedical Image Processing
This paper presents U-Net, a novel convolutional neural network architecture specifically engineered for fast and precise biomedical image segmentation. The ...
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