What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Enzyme
Olivier Bernard mainly focuses on Immunology, Cancer research, Internal medicine, Gene and Molecular biology.
His Immunology research integrates issues from Azathioprine and Prednisone.
He combines subjects such as Leukemia, Acute leukemia, Cytogenetics and Gene mutation with his study of Cancer research.
His studies in Internal medicine integrate themes in fields like Gastroenterology and Oncology.
His Gene study is associated with Genetics.
The concepts of his Myeloid study are interwoven with issues in Haematopoiesis and Myeloproliferative Disorders.
His most cited work include:
- Mutation in TET2 in Myeloid Cancers (1380 citations)
- Life-cycle assessment of biodiesel production from microalgae. (1157 citations)
- Anaerobic digestion of microalgae as a necessary step to make microalgal biodiesel sustainable. (891 citations)
What are the main themes of his work throughout his whole career to date?
Internal medicine, Artificial intelligence, Molecular biology, Immunology and Computer vision are his primary areas of study.
His Internal medicine study integrates concerns from other disciplines, such as Gastroenterology, Endocrinology and Surgery.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Ultrasound and Pattern recognition.
His research on Molecular biology frequently connects to adjacent areas such as Gene.
His study in Gene focuses on Chromosomal translocation in particular.
His Immunology study deals with Cancer research intersecting with Mutation.
He most often published in these fields:
- Internal medicine (14.51%)
- Artificial intelligence (12.00%)
- Molecular biology (13.78%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (12.00%)
- Segmentation (6.99%)
- Biomass (6.16%)
In recent papers he was focusing on the following fields of study:
Olivier Bernard spends much of his time researching Artificial intelligence, Segmentation, Biomass, Environmental engineering and Productivity.
His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Computer vision and Pattern recognition.
His Segmentation research includes themes of Ventricle, Deep learning and Robustness.
His Biomass study combines topics in areas such as Biochemistry, Pulp and paper industry and Nitrogen.
His Biofuel research extends to the thematically linked field of Environmental engineering.
His Biofuel study incorporates themes from Photosynthesis, Botany, Photobioreactor and Biochemical engineering.
Between 2015 and 2021, his most popular works were:
- Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? (323 citations)
- AG-221, a First-in-Class Therapy Targeting Acute Myeloid Leukemia Harboring Oncogenic IDH2 Mutations (175 citations)
- AG-221, a First-in-Class Therapy Targeting Acute Myeloid Leukemia Harboring Oncogenic IDH2 Mutations (175 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Enzyme
Olivier Bernard mostly deals with Photosynthesis, Artificial intelligence, Dunaliella salina, Cancer research and Biofuel.
He has included themes like Ecology, Turbidity, Biological system, Exponential function and Light intensity in his Photosynthesis study.
His Artificial intelligence research integrates issues from Magnetic resonance imaging and Computer vision.
The Dunaliella salina study combines topics in areas such as Productivity, Environmental engineering, Non-photochemical quenching and Cell movement.
His research in Cancer research intersects with topics in Cell, Protein kinase A, Suppressor, PI3K/AKT/mTOR pathway and RHOA.
His Biofuel research is multidisciplinary, incorporating perspectives in Biochemical engineering, Biochemistry, Biomass, Photobioreactor and Chlorella.
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