Browse Articles

  • Letter |

    Neuroimaging and cerebrospinal fluid analyses in humans reveal that loss of blood–brain barrier integrity and brain capillary pericyte damage are early biomarkers of cognitive impairment that occur independently of changes in amyloid-β and tau.

    • Daniel A. Nation
    • , Melanie D. Sweeney
    • , Axel Montagne
    • , Abhay P. Sagare
    • , Lina M. D’Orazio
    • , Maricarmen Pachicano
    • , Farshid Sepehrband
    • , Amy R. Nelson
    • , David P. Buennagel
    • , Michael G. Harrington
    • , Tammie L. S. Benzinger
    • , Anne M. Fagan
    • , John M. Ringman
    • , Lon S. Schneider
    • , John C. Morris
    • , Helena C. Chui
    • , Meng Law
    • , Arthur W. Toga
    •  & Berislav V. Zlokovic
  • Letter |

    Specific members of the gut microbiota are critical for regulating allergic responses to dietary antigens.

    • Taylor Feehley
    • , Catherine H. Plunkett
    • , Riyue Bao
    • , Sung Min Choi Hong
    • , Elliot Culleen
    • , Pedro Belda-Ferre
    • , Evelyn Campbell
    • , Rosita Aitoro
    • , Rita Nocerino
    • , Lorella Paparo
    • , Jorge Andrade
    • , Dionysios A. Antonopoulos
    • , Roberto Berni Canani
    •  & Cathryn R. Nagler
  • Letter |

    Fast scalable 3D bioprinting generates biocompatible and biomimetic scaffolds to precisely fit the geometries of spinal cord lesions, promote axonal regeneration, and support stem cell grafts to promote recovery from spinal cord injury in rodents.

    • Jacob Koffler
    • , Wei Zhu
    • , Xin Qu
    • , Oleksandr Platoshyn
    • , Jennifer N. Dulin
    • , John Brock
    • , Lori Graham
    • , Paul Lu
    • , Jeff Sakamoto
    • , Martin Marsala
    • , Shaochen Chen
    •  & Mark H. Tuszynski
  • Article |

    Oncogene cooperation enhances PD-L1 translation to promote immune evasion and metastasis in a novel model of liver cancer.

    • Yichen Xu
    • , Mauro Poggio
    • , Hyun Yong Jin
    • , Zhen Shi
    • , Craig M. Forester
    • , Ying Wang
    • , Craig R. Stumpf
    • , Lingru Xue
    • , Emily Devericks
    • , Lomon So
    • , Hao G. Nguyen
    • , Alice Griselin
    • , John D. Gordan
    • , Sarah E Umetsu
    • , Siegfried H. Reich
    • , Stephen T. Worland
    • , Saurabh Asthana
    • , Maria Barna
    • , Kevin R. Webster
    • , John T. Cunningham
    •  & Davide Ruggero
  • Turning Points |

    Kee Yuan Ngiam is the group chief technology officer at National University Health System, Singapore, and assistant professor at the School of Medicine of the National University of Singapore. His research focuses on the effects of using artificial intelligence in healthcare. He is the 2018 recipient of Singapore’s National Health IT Excellence Award, which recognizes individuals who advanced healthcare through innovation.

    • Kee Yuan Ngiam
  • Editorial |

    As Nature Medicine celebrates its 25th anniversary, we bring you a special Focus on Digital Medicine that highlights the new technologies transforming medicine and healthcare, as well as the related regulatory challenges ahead.

  • Letter |

    A deep-learning algorithm, trained on over 17,000 real-world patient facial images, achieves high accuracy in identifying rare genetic disorders.

    • Yaron Gurovich
    • , Yair Hanani
    • , Omri Bar
    • , Guy Nadav
    • , Nicole Fleischer
    • , Dekel Gelbman
    • , Lina Basel-Salmon
    • , Peter M. Krawitz
    • , Susanne B. Kamphausen
    • , Martin Zenker
    • , Lynne M. Bird
    •  & Karen W. Gripp
  • Comment |

    In this Comment, we provide guidelines for reinforcement learning for decisions about patient treatment that we hope will accelerate the rate at which observational cohorts can inform healthcare practice in a safe, risk-conscious manner.

    • Omer Gottesman
    • , Fredrik Johansson
    • , Matthieu Komorowski
    • , Aldo Faisal
    • , David Sontag
    • , Finale Doshi-Velez
    •  & Leo Anthony Celi
  • News & Views |

    Deep-learning algorithms can be applied to large datasets of electrocardiograms, are capable of identifying abnormal heart rhythms and mechanical dysfunction, and could aid healthcare decisions.

    • Ana Mincholé
    •  & Blanca Rodriguez
  • News Feature |

    Machine learning makes new sense of psychiatric symptoms

    • Brianna Abbott
  • Turning Points |

    Rima Arnaout is an assistant professor of cardiology and a member of the University of California San Francisco Bakar Computational Health Sciences Institute. She has received a Chan Zuckerberg Biohub Intercampus Research Award, as well as funding support from the US National Institutes of Health and the American Heart Association’s Institute for Precision Cardiovascular Medicine.

    • Rima Arnaout
  • Brief Communication |

    An algorithm trained on half a million electronic medical records predicts chronic kidney disease in diabetic patients using a small set of defined clinical features, outperforming predictions derived from clinical trial data.

    • Stefan Ravizza
    • , Tony Huschto
    • , Anja Adamov
    • , Lars Böhm
    • , Alexander Büsser
    • , Frederik F. Flöther
    • , Rolf Hinzmann
    • , Helena König
    • , Scott M. McAhren
    • , Daniel H. Robertson
    • , Titus Schleyer
    • , Bernd Schneidinger
    •  & Wolfgang Petrich
  • Comment |

    Here we argue that now is the time to create smarter healthcare systems in which the best treatment decisions are computationally learned from electronic health record data by deep-learning methodologies.

    • Beau Norgeot
    • , Benjamin S. Glicksberg
    •  & Atul J. Butte
  • Letter |

    A deep learning algorithm applied to the electrocardiogram—a test of the heart’s electrical activity—can detect abnormally low contractile function of the heart, opening up the possibility for a simple screening tool for this condition.

    • Zachi I. Attia
    • , Suraj Kapa
    • , Francisco Lopez-Jimenez
    • , Paul M. McKie
    • , Dorothy J. Ladewig
    • , Gaurav Satam
    • , Patricia A. Pellikka
    • , Maurice Enriquez-Sarano
    • , Peter A. Noseworthy
    • , Thomas M. Munger
    • , Samuel J. Asirvatham
    • , Christopher G. Scott
    • , Rickey E. Carter
    •  & Paul A. Friedman
  • Review Article |

    The increased amount of health care data collected brings with it ethical and legal challenges for protecting the patient while optimizing health care and research.

    • W. Nicholson Price II
    •  & I. Glenn Cohen
  • Perspective |

    A primer for deep-learning techniques for healthcare, centering on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods.

    • Andre Esteva
    • , Alexandre Robicquet
    • , Bharath Ramsundar
    • , Volodymyr Kuleshov
    • , Mark DePristo
    • , Katherine Chou
    • , Claire Cui
    • , Greg Corrado
    • , Sebastian Thrun
    •  & Jeff Dean
  • Article |

    Expression of the exercise-induced myokine irisin (FNDC5) is lower in patients with AD. Whereas knockdown of FNDC5/irisin is sufficient to induce learning and memory deficits, restoration of its expression can ameliorate these phenotypes in rodent models.

    • Mychael V. Lourenco
    • , Rudimar L. Frozza
    • , Guilherme B. de Freitas
    • , Hong Zhang
    • , Grasielle C. Kincheski
    • , Felipe C. Ribeiro
    • , Rafaella A. Gonçalves
    • , Julia R. Clarke
    • , Danielle Beckman
    • , Agnieszka Staniszewski
    • , Hanna Berman
    • , Lorena A. Guerra
    • , Letícia Forny-Germano
    • , Shelby Meier
    • , Donna M. Wilcock
    • , Jorge M. de Souza
    • , Soniza Alves-Leon
    • , Vania F. Prado
    • , Marco A. M. Prado
    • , Jose F. Abisambra
    • , Fernanda Tovar-Moll
    • , Paulo Mattos
    • , Ottavio Arancio
    • , Sergio T. Ferreira
    •  & Fernanda G. De Felice
  • News Feature |

    Genetics and electronic health records come together to identify heritable traits

    • Shraddha Chakradhar
  • Brief Communication |

    RNA antisense oligonucleotide therapy to restore normal splicing of a ciliopathy gene shows promising safety and efficacy results in a clinical trial to treat a form of childhood blindness.

    • Artur V. Cideciyan
    • , Samuel G. Jacobson
    • , Arlene V. Drack
    • , Allen C. Ho
    • , Jason Charng
    • , Alexandra V. Garafalo
    • , Alejandro J. Roman
    • , Alexander Sumaroka
    • , Ian C. Han
    • , Maria D. Hochstedler
    • , Wanda L. Pfeifer
    • , Elliott H. Sohn
    • , Magali Taiel
    • , Michael R. Schwartz
    • , Patricia Biasutto
    • , Wilma de Wit
    • , Michael E. Cheetham
    • , Peter Adamson
    • , David M. Rodman
    • , Gerard Platenburg
    • , Maria D. Tome
    • , Irina Balikova
    • , Fanny Nerinckx
    • , Julie De Zaeytijd
    • , Caroline Van Cauwenbergh
    • , Bart P. Leroy
    •  & Stephen R. Russell
  • Letter |

    The new RAF inhibitor PLX8394 selectively blocks ERK signaling in tumors driven by class 1 and/or class 2 BRAF mutations and BRAF fusions while maintaining a broad therapeutic window.

    • Zhan Yao
    • , Yijun Gao
    • , Wenjing Su
    • , Rona Yaeger
    • , Jessica Tao
    • , Na Na
    • , Ying Zhang
    • , Chao Zhang
    • , Andrey Rymar
    • , Anthony Tao
    • , Neilawattie M. Timaul
    • , Rory Mcgriskin
    • , Nathaniel A. Outmezguine
    • , HuiYong Zhao
    • , Qing Chang
    • , Besnik Qeriqi
    • , Mariano Barbacid
    • , Elisa de Stanchina
    • , David M Hyman
    • , Gideon Bollag
    •  & Neal Rosen
  • Letter |

    RNA editing enzyme ADAR1 is a therapeutic vulnerability in tumors with constitutive cell-autonomous production of interferon-stimulated genes

    • Huayang Liu
    • , Javad Golji
    • , Lauren K. Brodeur
    • , Franklin S. Chung
    • , Julie T. Chen
    • , Rosalie S. deBeaumont
    • , Caroline P. Bullock
    • , Michael D. Jones
    • , Grainne Kerr
    • , Li Li
    • , Daniel P. Rakiec
    • , Michael R. Schlabach
    • , Sosathya Sovath
    • , Joseph D. Growney
    • , Raymond A. Pagliarini
    • , David A. Ruddy
    • , Kenzie D. MacIsaac
    • , Joshua M. Korn
    •  & E. Robert McDonald III
  • Author Correction |

    • Neville K Kisalu
    • , Azza H Idris
    • , Connor Weidle
    • , Yevel Flores-Garcia
    • , Barbara J Flynn
    • , Brandon K Sack
    • , Sean Murphy
    • , Arne Schön
    • , Ernesto Freire
    • , Joseph R Francica
    • , Alex B Miller
    • , Jason Gregory
    • , Sandra March
    • , Hua-Xin Liao
    • , Barton F Haynes
    • , Kevin Wiehe
    • , Ashley M Trama
    • , Kevin O Saunders
    • , Morgan A Gladden
    • , Anthony Monroe
    • , Mattia Bonsignori
    • , Masaru Kanekiyo
    • , Adam K Wheatley
    • , Adrian B McDermott
    • , S Katie Farney
    • , Gwo-Yu Chuang
    • , Baoshan Zhang
    • , Natasha Kc
    • , Sumana Chakravarty
    • , Peter D Kwong
    • , Photini Sinnis
    • , Sangeeta N Bhatia
    • , Stefan H I Kappe
    • , B Kim Lee Sim
    • , Stephen L Hoffman
    • , Fidel Zavala
    • , Marie Pancera
    •  & Robert A Seder
  • Resource |

    An integrated analysis of glioma samples from patients with neurofibromatosis 1 annotates their mutational, epigenetic, transcriptional, and immunological features and uncovers similitudes with a subset of sporadic gliomas.

    • Fulvio D’Angelo
    • , Michele Ceccarelli
    • , Tala
    • , Luciano Garofano
    • , Jing Zhang
    • , Véronique Frattini
    • , Francesca P. Caruso
    • , Genevieve Lewis
    • , Kristin D. Alfaro
    • , Luc Bauchet
    • , Giulia Berzero
    • , David Cachia
    • , Mario Cangiano
    • , Laurent Capelle
    • , John de Groot
    • , Francesco DiMeco
    • , François Ducray
    • , Walid Farah
    • , Gaetano Finocchiaro
    • , Stéphane Goutagny
    • , Carlos Kamiya-Matsuoka
    • , Cinzia Lavarino
    • , Hugues Loiseau
    • , Véronique Lorgis
    • , Carlo E. Marras
    • , Ian McCutcheon
    • , Do-Hyun Nam
    • , Susanna Ronchi
    • , Veronica Saletti
    • , Romuald Seizeur
    • , John Slopis
    • , Mariona Suñol
    • , Fanny Vandenbos
    • , Pascale Varlet
    • , Dominique Vidaud
    • , Colin Watts
    • , Viviane Tabar
    • , David E. Reuss
    • , Seung-Ki Kim
    • , David Meyronet
    • , Karima Mokhtari
    • , Hector Salvador
    • , Krishna P. Bhat
    • , Marica Eoli
    • , Marc Sanson
    • , Anna Lasorella
    •  & Antonio Iavarone
  • News & Views |

    Metformin functions through a gut microbiome–bile acid–farnesoid X receptor axis to lower glucose in type 2 diabetes, revealing a new therapeutic target in this disease.

    • Grace L. Guo
    •  & Wen Xie
  • Year in Review |

    In 2018, drugs for rare conditions such as beta-thalassemia and forms of amyloidosis made it onto the approval mainstage in addition to drugs for more common diseases such as cancer. The gene-editing technology CRISPR slowly made strides into the therapeutic realm, while drugs for Alzheimer’s disease continued to falter, leaving a wide gap that is still in need of filling.

    • Shraddha Chakradhar
  • Article |

    Single cell dissection of plasma cell heterogeneity in myeloma patients reveals new insights into disease that may inform early diagnosis and clinical management.

    • Guy Ledergor
    • , Assaf Weiner
    • , Mor Zada
    • , Shuang-Yin Wang
    • , Yael C. Cohen
    • , Moshe E. Gatt
    • , Nimrod Snir
    • , Hila Magen
    • , Maya Koren-Michowitz
    • , Katrin Herzog-Tzarfati
    • , Hadas Keren-Shaul
    • , Chamutal Bornstein
    • , Ron Rotkopf
    • , Ido Yofe
    • , Eyal David
    • , Venkata Yellapantula
    • , Sigalit Kay
    • , Moshe Salai
    • , Dina Ben Yehuda
    • , Arnon Nagler
    • , Lev Shvidel
    • , Avi Orr-Urtreger
    • , Keren Bahar Halpern
    • , Shalev Itzkovitz
    • , Ola Landgren
    • , Jesus San-Miguel
    • , Bruno Paiva
    • , Jonathan J. Keats
    • , Elli Papaemmanuil
    • , Irit Avivi
    • , Gabriel I. Barbash
    • , Amos Tanay
    •  & Ido Amit