Metastatic prostate cancer
Metastatic Prostate Cancer Interventions added to androgen-deprivation therapy in men with
metastatic prostate cancer have recently been noted to increase survival. Decisions about …
metastatic prostate cancer have recently been noted to increase survival. Decisions about …
Machine learning and feature selection for drug response prediction in precision oncology applications
In-depth modeling of the complex interplay among multiple omics data measured from
cancer cell lines or patient tumors is providing new opportunities toward identification of …
cancer cell lines or patient tumors is providing new opportunities toward identification of …
Key parameters of tumor epitope immunogenicity revealed through a consortium approach improve neoantigen prediction
DK Wells, MM van Buuren, KK Dang… - Cell, 2020 - cell.com
Many approaches to identify therapeutically relevant neoantigens couple tumor sequencing
with bioinformatic algorithms and inferred rules of tumor epitope immunogenicity. However …
with bioinformatic algorithms and inferred rules of tumor epitope immunogenicity. However …
CHAOS challenge-combined (CT-MR) healthy abdominal organ segmentation
Segmentation of abdominal organs has been a comprehensive, yet unresolved, research
field for many years. In the last decade, intensive developments in deep learning (DL) …
field for many years. In the last decade, intensive developments in deep learning (DL) …
A community approach to mortality prediction in sepsis via gene expression analysis
Improved risk stratification and prognosis prediction in sepsis is a critical unmet need.
Clinical severity scores and available assays such as blood lactate reflect global illness …
Clinical severity scores and available assays such as blood lactate reflect global illness …
A framework for validating AI in precision medicine: considerations from the European ITFoC consortium
R Tsopra, X Fernandez, C Luchinat… - BMC medical informatics …, 2021 - Springer
Background Artificial intelligence (AI) has the potential to transform our healthcare systems
significantly. New AI technologies based on machine learning approaches should play a key …
significantly. New AI technologies based on machine learning approaches should play a key …
Integrating artificial and human intelligence: a partnership for responsible innovation in biomedical engineering and medicine
Historically, the term “artificial intelligence” dates to 1956 when it was first used in a
conference at Dartmouth College in the US. Since then, the development of artificial …
conference at Dartmouth College in the US. Since then, the development of artificial …
How to design preclinical studies in nanomedicine and cell therapy to maximize the prospects of clinical translation
The clinical translation of promising products, technologies and interventions from the
disciplines of nanomedicine and cell therapy has been slow and inefficient. In part …
disciplines of nanomedicine and cell therapy has been slow and inefficient. In part …
Prostate cancer classification with multiparametric MRI transfer learning model
Purpose Prostate cancer classification has a significant impact on the prognosis and
treatment planning of patients. Currently, this classification is based on the Gleason score …
treatment planning of patients. Currently, this classification is based on the Gleason score …
Crowdsourcing in medical research: concepts and applications
Crowdsourcing shifts medical research from a closed environment to an open collaboration
between the public and researchers. We define crowdsourcing as an approach to problem …
between the public and researchers. We define crowdsourcing as an approach to problem …