His primary areas of study are Genetic enhancement, Immunology, Genetics, Stem cell and Haematopoiesis. His Genetic enhancement study combines topics from a wide range of disciplines, such as Hematopoietic stem cell transplantation, Transplantation, Transgene, Hematopoietic stem cell and Severe combined immunodeficiency. His research investigates the link between Hematopoietic stem cell and topics such as Cancer research that cross with problems in GLI2.
His study in the field of Immunodeficiency, Bone marrow, Myeloid and Tumor necrosis factor alpha also crosses realms of Respiratory epithelium. His Stem cell research is multidisciplinary, incorporating elements of Chronic granulomatous disease and Virology. His study in Haematopoiesis is interdisciplinary in nature, drawing from both Wiskott–Aldrich syndrome, Primary immunodeficiency and Cell therapy.
His primary scientific interests are in Genetic enhancement, Immunology, Genetics, Gene and Haematopoiesis. He interconnects Cancer research, Transgene, Molecular biology, Viral vector and Transplantation in the investigation of issues within Genetic enhancement. His studies deal with areas such as Insertional mutagenesis, Ex vivo, Long terminal repeat and Virology as well as Viral vector.
His Immunology research incorporates elements of Cytotoxic T cell, Hematopoietic stem cell transplantation and Severe combined immunodeficiency. Christof von Kalle focuses mostly in the field of Gene, narrowing it down to topics relating to Cell biology and, in certain cases, CRISPR, Transcription activator-like effector nuclease and Genome editing. His research in Haematopoiesis intersects with topics in Progenitor cell, Myeloid and Bone marrow.
Christof von Kalle mostly deals with Artificial intelligence, Melanoma, Deep learning, Convolutional neural network and Severe acute respiratory syndrome coronavirus 2. He has researched Artificial intelligence in several fields, including Receiver operating characteristic, Medical diagnosis and Skin cancer. His Melanoma research includes elements of Dermatology, Prospective data, Early detection and Deep neural networks.
The Prospective data study which covers Oncology that intersects with Cancer. His study looks at the relationship between Deep learning and topics such as Artificial neural network, which overlap with Robustness, Learnability, Digital pathology and Data set. Christof von Kalle incorporates Trajectory analysis and Cancer research in his research.
His scientific interests lie mostly in Artificial intelligence, Deep learning, University hospital, Contextual image classification and Convolutional neural network. Christof von Kalle works mostly in the field of Artificial intelligence, limiting it down to topics relating to Receiver operating characteristic and, in certain cases, Pattern recognition and Resident physician, as a part of the same area of interest. His study ties his expertise on Medical diagnosis together with the subject of Deep learning.
Christof von Kalle works mostly in the field of Medical diagnosis, limiting it down to topics relating to Histopathology and, in certain cases, Breast cancer, Melanoma diagnosis, Benign nevus and Radiology. His Contextual image classification research is multidisciplinary, incorporating perspectives in Dermatology and Confidence interval. His research integrates issues of Algorithm and Benchmark in his study of Melanoma.
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A Serious Adverse Event after Successful Gene Therapy for X-Linked Severe Combined Immunodeficiency
Salima Hacein-Bey-Abina;Christof Von Kalle;Manfred Schmidt;Françoise Le Deist.
The New England Journal of Medicine (2003)
International network of cancer genome projects
Thomas J. Hudson;Thomas J. Hudson;Warwick Anderson;Axel Aretz;Anna D. Barker.
Hematopoietic Stem Cell Gene Therapy with a Lentiviral Vector in X-Linked Adrenoleukodystrophy
Nathalie Cartier;Salima Hacein-Bey-Abina;Cynthia C. Bartholomae;Gabor Veres.
Correction of X-linked chronic granulomatous disease by gene therapy, augmented by insertional activation of MDS1-EVI1, PRDM16 or SETBP1.
Marion G Ott;Manfred Schmidt;Kerstin Schwarzwaelder;Stefan Stein.
Nature Medicine (2006)
Insertional mutagenesis combined with acquired somatic mutations causes leukemogenesis following gene therapy of SCID-X1 patients
Steven J. Howe;Marc R. Mansour;Kerstin Schwarzwaelder;Cynthia Bartholomae.
Journal of Clinical Investigation (2008)
Pan-cancer analysis of whole genomes
Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart.
Lentiviral hematopoietic stem cell gene therapy benefits metachromatic leukodystrophy.
Alessandra Biffi;Eugenio Montini;Laura Lorioli;Martina Cesani.
Lentiviral Hematopoietic Stem Cell Gene Therapy in Patients with Wiskott-Aldrich Syndrome
Alessandro Aiuti;Luca Biasco;Samantha Scaramuzza;Francesca Ferrua.
Dissecting the genomic complexity underlying medulloblastoma
David T. W. Jones;Natalie Jäger;Marcel Kool;Thomas Zichner.
COVID-19 severity correlates with airway epithelium-immune cell interactions identified by single-cell analysis.
Robert Lorenz Chua;Soeren Lukassen;Saskia Trump;Bianca P. Hennig.
Nature Biotechnology (2020)
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