Brian M. Bot
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View article: Supplementary Table 3 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials
Supplementary Table 3 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials Open
XLS file 31K, Multivariate linear analysis of the drecrease of TGR
View article: Data from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials
Data from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials Open
Purpose: Response Evaluation Criteria in Solid Tumors (RECIST) evaluation does not take into account the pretreatment tumor kinetics and may provide incomplete information about experimental drug activity. Tumor growth rate (TGR) al…
View article: Data from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials
Data from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials Open
Purpose: Response Evaluation Criteria in Solid Tumors (RECIST) evaluation does not take into account the pretreatment tumor kinetics and may provide incomplete information about experimental drug activity. Tumor growth rate (TGR) al…
View article: Supplementary Table 2 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials
Supplementary Table 2 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials Open
XLS file 27K, Distribution of the tumor response (RECIST) according to the decrease of TGR between the REFERENCE and the EXPERIMENTAL periods
View article: Supplementary Methods from Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology
Supplementary Methods from Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology Open
PDF file - 81K
View article: Supplementary figures 1 and 2 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials
Supplementary figures 1 and 2 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials Open
PDF file 212K, Supplementary figures 1 and 2
View article: Supplementary Table 1 from Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology
Supplementary Table 1 from Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology Open
PDF file - 58K, Description of all the published studies related to NSCLC gene expression data with prognostic information and their actual availability as raw data.
View article: Supplementary figures 1 and 2 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials
Supplementary figures 1 and 2 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials Open
PDF file 212K, Supplementary figures 1 and 2
View article: Supplementary Table 1 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials
Supplementary Table 1 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials Open
XLS file 26K, Distribution of the patients according to the trial characteristics
View article: Supplementary Methods from Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology
Supplementary Methods from Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology Open
PDF file - 81K
View article: Supplementary Table 1 from Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology
Supplementary Table 1 from Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology Open
PDF file - 58K, Description of all the published studies related to NSCLC gene expression data with prognostic information and their actual availability as raw data.
View article: Supplementary Table 3 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials
Supplementary Table 3 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials Open
XLS file 31K, Multivariate linear analysis of the drecrease of TGR
View article: Supplementary Table 1 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials
Supplementary Table 1 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials Open
XLS file 26K, Distribution of the patients according to the trial characteristics
View article: Data from Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology
Data from Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology Open
The progressive introduction of high-throughput molecular techniques in the clinic allows for the extensive and systematic exploration of multiple biologic layers of tumors. Molecular profiles and classifiers generated from these assays re…
View article: Supplementary Table 2 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials
Supplementary Table 2 from Tumor Growth Rate Is an Early Indicator of Antitumor Drug Activity in Phase I Clinical Trials Open
XLS file 27K, Distribution of the tumor response (RECIST) according to the decrease of TGR between the REFERENCE and the EXPERIMENTAL periods
View article: Data from Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology
Data from Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology Open
The progressive introduction of high-throughput molecular techniques in the clinic allows for the extensive and systematic exploration of multiple biologic layers of tumors. Molecular profiles and classifiers generated from these assays re…
View article: Disentangling personalized treatment effects from “time-of-the-day” confounding in mobile health studies
Disentangling personalized treatment effects from “time-of-the-day” confounding in mobile health studies Open
Ideally, a patient’s response to medication can be monitored by measuring changes in performance of some activity. In observational studies, however, any detected association between treatment (“on-medication” vs “off-medication”) and the …
View article: Remote smartphone monitoring of Parkinson's disease and individual response to therapy
Remote smartphone monitoring of Parkinson's disease and individual response to therapy Open
This is the accepted manuscript version of the work published in its final form as Omberg, L., Neto, E. C., Perumal, T. M., Pratap, A., Tediarjo, A., Adams, J., Bloem, B. R., Bot, B. M., Elson, M., Goldman, S. M., Kellen, M. R., Kieburtz, …
View article: Remote smartphone monitoring of Parkinson’s disease and individual response to therapy
Remote smartphone monitoring of Parkinson’s disease and individual response to therapy Open
View article: Assessment of the<i>All of Us</i>research program’s informed consent process
Assessment of the<i>All of Us</i>research program’s informed consent process Open
Informed consent is the gateway to research participation. We report on the results of the formative evaluation that follows the electronic informed consent process for the All of Us Research Program. Of the nearly 250,000 participa…
View article: Impact of Young Age on Treatment Efficacy and Safety in Advanced Colorectal Cancer: A Pooled Analysis of Patients From Nine First-Line Phase III Chemotherapy Trials
Impact of Young Age on Treatment Efficacy and Safety in Advanced Colorectal Cancer: A Pooled Analysis of Patients From Nine First-Line Phase III Chemotherapy Trials Open
Colorectal cancer predominantly occurs in the elderly, but approximately 5% of patients are 50 years old or younger. We sought to determine whether young age is prognostic, or whether it influences efficacy/toxicity of chemotherapy, in pat…
View article: Association Between Disease-Free Survival and Overall Survival When Survival Is Prolonged After Recurrence in Patients Receiving Cytotoxic Adjuvant Therapy for Colon Cancer: Simulations Based on the 20,800 Patient ACCENT Data Set
Association Between Disease-Free Survival and Overall Survival When Survival Is Prolonged After Recurrence in Patients Receiving Cytotoxic Adjuvant Therapy for Colon Cancer: Simulations Based on the 20,800 Patient ACCENT Data Set Open
We previously validated disease-free survival (DFS) as a surrogate for overall survival (OS) in fluorouracil-based adjuvant colon cancer clinical trials. New therapies have extended survival after recurrence from 1 to approximately 2 years…
View article: Pooled Safety and Efficacy Analysis Examining the Effect of Performance Status on Outcomes in Nine First-Line Treatment Trials Using Individual Data From Patients With Metastatic Colorectal Cancer
Pooled Safety and Efficacy Analysis Examining the Effect of Performance Status on Outcomes in Nine First-Line Treatment Trials Using Individual Data From Patients With Metastatic Colorectal Cancer Open
Performance status (PS) is a prognostic factor in patients with metastatic colorectal cancer. Clinical trials typically enroll less than 10% of patients with a PS of 2 (PS2); thus, the benefit of systemic chemotherapy in PS2 patients is un…
View article: Detecting the impact of subject characteristics on machine learning-based diagnostic applications
Detecting the impact of subject characteristics on machine learning-based diagnostic applications Open
View article: A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health
A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health Open
Machine learning applications are often plagued with confounders that can impact the generalizability of the learners. In clinical settings, demographic characteristics often play the role of confounders. Confounding is especially problema…
View article: Physical activity, sleep and cardiovascular health data for 50,000 individuals from the MyHeart Counts Study
Physical activity, sleep and cardiovascular health data for 50,000 individuals from the MyHeart Counts Study Open
View article: Assessing the consequences of decentralizing biomedical research
Assessing the consequences of decentralizing biomedical research Open
Advancements in technology are shifting the ways that biomedical data are collected, managed, and used. The pervasiveness of connected devices is expanding the types of information that are defined as ‘health data.’ Additionally, cloud-bas…
View article: Using permutations to assess confounding in machine learning applications for digital health
Using permutations to assess confounding in machine learning applications for digital health Open
Clinical machine learning applications are often plagued with confounders that can impact the generalizability and predictive performance of the learners. Confounding is especially problematic in remote digital health studies where the par…
View article: Using permutations to assess confounding in machine learning\n applications for digital health
Using permutations to assess confounding in machine learning\n applications for digital health Open
Clinical machine learning applications are often plagued with confounders\nthat can impact the generalizability and predictive performance of the\nlearners. Confounding is especially problematic in remote digital health\nstudies where the …
View article: The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app
The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app Open