Showing 1–50 of 222 results

  1. Research Highlights |

  2. Research Highlights |

  3. Research Highlights |

  4. Research Highlights |

  5. Research | | Open

  6. Research | | Open

    • Machine learning has been extensively applied in... ...wide range of molecular properties and processes including mass spectrometry fragmentation... ...this dataset, we deployed a deep learning model for retention time prediction... ...to apply machine learning or first principles...
  7. Research Highlights |

  8. Reviews |

    • ...data, which vary in volume and speed of data processing,... ..., cosmic rays, gravitational waves and neutrinos. In this Expert... ...observations of gravitational wave sources and their electromagnetic and astroparticle counterparts, and make a number of recommendations... ...design of scalable...
  9. Research | | Open

    • ...tomography (APT) facilitates nano- and atomic-scale characterization and analysis of microstructural features.... ...the interface between, for precipitate and matrix phases, in APT... ...These approaches are subjective, not scalable, and may lead to inconsistencies due... ...on deep neural...
  10. Research | | Open

    • ...facing manufacturers, regulatory agencies, and health care providers. Electronic... ...evidence for assessing device safety and tracking device-related patient outcomes... ...is fractured across clinical notes and structured records. Modern machine learning methods for machine reading promise...and
  11. Reviews |

  12. Research | | Open

    • ...brain areas to identify diverse and subtly-differentiated morphologies. Standard... ..., however, are coarse-grained and lack precise neuroanatomic localization.... ...report a proof-of-concept deep learning pipeline that identifies specific neuropathologies... ...and cerebral amyloid angiopathy...
  13. Reviews |

    • ...science, genomics largely utilizes machine learning to capture dependencies in data... and derive novel biological hypotheses.... ...data requires more expressive machine learning models. By effectively leveraging... large data sets, deep learning has transformed fields such as... ...and...
  14. Research Highlights |

  15. Research |

    • ...of diagnostic tests for anaemia and the costs associated with screening... ...can be detected via machine-learning algorithms trained using retinal fundus... ...or ethnicity, age, sex and blood pressure) or the... ...of both data types (images and study participant metadata). In... ...-only and...and
  16. Research | | Open

    • ...analyze how accurately supervised machine learning techniques can predict the lowest... ...to an optical speckle field. Deep neural networks with different numbers... of hidden layers and neurons per layer are trained... ...possible success of supervised machine learning tasks, namely the depth and
  17. Reviews | | Open

    • ...to explore a model of learning that proposes that various learning strategies are powerful at certain... stages in the learning cycle. The model describes... three inputs and outcomes (skill, will and thrill), success criteria,... three phases of learning (surface, deep and transfer) and an...and
  18. Reviews |

    • ...at various levels of phenotyping and from different types of resources... ...in both data-generation infrastructure and data-analysis methodologies, there... ...of debate. Addressing the potential and challenges of big data in... ...data, describe the considerations and tradeoffs taken when such...
  19. Research |

    • ...newly generated drug-screen dataset and demonstrate that PhEMD uncovers axes... ...to-patient variation. PhEMD is scalable, compatible with leading batch-... effect correction techniques and generalizable to multiple experimental designs...
  20. Research |

    • ...holds the promise of sustainable and clean energy1. The avoidance... ...disruptions can halt power production and damage key components. Disruptions... ...present a method based on deep learning for forecasting disruptions. Our... ...as first-principles-based5 and classical machine-learning7–11...
  21. Reviews |

    • Drug discovery and development pipelines are long,... complex and depend on numerous factors.... Machine learning (ML) approaches provide a... ...tools that can improve discovery and decision making for well-specified... ..., identification of prognostic biomarkers and analysis of digital pathology...
  22. News and Views |

    • ...RNA-sequencing data uses Bayesian deep learning to correct technical artifacts and enable accurate and multifaceted downstream analyses.
  23. Reviews |

    • ...of impairments in social communication and repetitive behaviours, highly restricted... interests and/or sensory behaviours beginning early... ...characteristic of autism, subtle anatomical and functional differences have been observed... ...mortem, neuroimaging and electrophysiological studies....
  24. Reviews |

    • ...in digitized data acquisition, machine learning and computing infrastructure, AI applications... ...recent breakthroughs in AI technologies and their biomedical applications, identify... ...progress in medical AI systems, and summarize the economic, legal and social implications of AI in...
  25. Research | | Open

    • Infants’ spontaneous and voluntary movements mirror developmental integrity... ...shown promise for offering efficient, scalable and automated methods for movement assessment... ...jumpsuit that allows mobile accelerometer and gyroscope data collection during movements... ...and movement... ...and...
  26. Research Highlights |

  27. Research |

    • ...decision support systems for pathology and their deployment in clinical practice... ...we present a multiple instance learning-based deep learning system that uses only the... ...for training, thereby avoiding expensive and time-consuming pixel-wise manual... ...cell carcinoma and breast...
  28. Reviews |

    • ...intact tissues from individual organs and even to some entire mammals... ...combined with light-sheet microscopy and automated approaches to image analysis... ...-clearing methods can speed up and may reduce the cost of... ...labelling, clearing, imaging and data-analysis tools,... ...and... ...and...
  29. Research |

    • ...for human genetics, precision medicine and evolutionary biology include deciphering the... ...regulatory code of gene expression and understanding the transcriptional effects of... ...mutation space. We developed a deep learning–based framework, ExPecto, that... ...wide association studies and...and
  30. Research |

    • Pattern recognition and classification of images are key... ...HPA. Second, we used deep learning to build an automated Localization... ...into 29 subcellular localization patterns and can deal efficiently with multi... ...Combining the annotations of gamers and deep learning, we applied transfer
  31. Research |

    • ...they suffer from technical noise and bias that must be modeled... ...), a ready-to-use scalable framework for the probabilistic representation... and analysis of gene expression in... ...). scVI uses stochastic optimization and deep neural networks to aggregate information... ...similar cells and...
  32. Research | | Open

    • Despite their interest and threat status, the number... ...through high-resolution images. Since deep convolutional neural networks (CNNs)... ...here we propose a robust and generalizable CNN-based system for... automatically detecting and counting whales in satellite and aerial images based on...
    • ...social interactions, emotion regulation, and motivation. The high degree... of learning-dependent plasticity in these networks... ...training programs that drive meaningful and enduring improvements in impaired neural... ...training approaches for mental and addictive disorders must take...learning
  33. Research | | Open

    • ...scientists to publishers, funding agencies and policy makers. We propose... a scalable, automatable framework to evaluate... ...indicators, open source tools, and participation guidelines, which come... ...resources against individual Maturity Indicators; and (3) the Evaluator,... ..., and...
  34. Research |

    • ...function. Here, we apply deep learning to unlabeled amino-acid sequences... ...representation that is semantically rich and structurally, evolutionarily and biophysically grounded. We show... ...(UniRep) are broadly applicable and generalize to unseen regions of... ...of natural and de novo...
  35. Research |

  36. Research | | Open

    • Learning from data has led to... ...disciplines, including web, text and image search, speech recognition,... ...well as bioinformatics. Can machine learning enable similar breakthroughs in understanding... ...Here we develop an efficient deep learning approach that enables spatially and chemically...
  37. Reviews |

    • ...ion migration, the switching dynamics and electrical behaviour of memristive devices... resemble those of synapses and neurons, making these devices... ...dynamical interactions between artificial synapses and neurons equip the networks with... both supervised and unsupervised learning... ...and...
  38. Research | | Open

    • ...their use in supervised machine learning. We develop a weakly... supervised deep learning model for classification of aortic... ...event. This work formalizes a deep learning baseline for aortic valve classification... and outlines a general strategy for... ...train machine learning models using...
  39. Research | | Open

    • ...should be sensitive to small and weak events with a variety... ...shapes, robust to background noise and non-earthquake signals, and efficient for processing large data... ...), a detector based on deep neural networks. CRED uses... ...of convolutional layers and bi-directional long-short...
  40. Research |

    • Rapid diagnosis and treatment of acute neurological illnesses... ...such as stroke, hemorrhage, and hydrocephalus are critical to achieving... positive outcomes and preserving neurologic function—‘time... ...thus decreasing time to treatment and improving outcomes. Substantial clinical... ...and...
  41. Research | | Open

    • ...increase contrast between the animal and the background in order to... ..., under dynamic environmental conditions, and in animals that are genetically... and behaviorally heterogeneous. To address... ...architectures across visually diverse mice and different environmental conditions. We...
  42. Research | | Open

    • Recent improvements in hardware and data collection have lowered the... ...neural systems are quite complex and difficult to design. To... ...-free method from the reinforcement learning literature, Deep Deterministic Policy Gradients (DDPG)... ...-free reinforcement learning presents an attractive...
  43. Research | | Open

    • Reinforcement learning involves decision-making in dynamic... and uncertain environments and constitutes a crucial element of... ...the laser-chaos-based reinforcement learning should be clarified. In... ...this study, we demonstrated a scalable, pipelined principle of resolving... ...and coloured...