What is he best known for?
The fields of study he is best known for:
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 most cited work include:
- International network of cancer genome projects (1611 citations)
- A Serious Adverse Event after Successful Gene Therapy for X-Linked Severe Combined Immunodeficiency (1589 citations)
- Hematopoietic Stem Cell Gene Therapy with a Lentiviral Vector in X-Linked Adrenoleukodystrophy (1141 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Genetic enhancement (30.05%)
- Immunology (25.35%)
- Genetics (17.37%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (7.04%)
- Melanoma (6.10%)
- Deep learning (4.23%)
In recent papers he was focusing on the following fields of study:
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.
Between 2018 and 2021, his most popular works were:
- Pan-cancer analysis of whole genomes (538 citations)
- COVID-19 severity correlates with airway epithelium-immune cell interactions identified by single-cell analysis. (243 citations)
- Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment. (226 citations)
In his most recent research, the most cited papers focused on:
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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