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"Rosenthal, Michael"
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Spinoza's 'theological-political treatise' : a critical guide
\"Spinoza's Theological-Political Treatise was published anonymously in 1670 and immediately provoked huge debate. Its main goal was to claim that the freedom of philosophizing can be allowed in a free republic and that it cannot be abolished without also destroying the peace and piety of that republic. Spinoza criticizes the traditional claims of revelation and offers a social contract theory in which he praises democracy as the most natural form of government. This new Critical Guide presents new essays by well-known scholars in the field and covers a broad range of topics, including the political theory and the metaphysics of the work, religious toleration, the reception of the text by other early modern philosophers, and the relation of the text to Jewish thought. It offers valuable new perspectives on this important and influential work\"-- Provided by publisher.
Book
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Pancreatic cancer is an aggressive disease that typically presents late with poor outcomes, indicating a pronounced need for early detection. In this study, we applied artificial intelligence methods to clinical data from 6 million patients (24,000 pancreatic cancer cases) in Denmark (Danish National Patient Registry (DNPR)) and from 3 million patients (3,900 cases) in the United States (US Veterans Affairs (US-VA)). We trained machine learning models on the sequence of disease codes in clinical histories and tested prediction of cancer occurrence within incremental time windows (CancerRiskNet). For cancer occurrence within 36 months, the performance of the best DNPR model has area under the receiver operating characteristic (AUROC) curve = 0.88 and decreases to AUROC (3m) = 0.83 when disease events within 3 months before cancer diagnosis are excluded from training, with an estimated relative risk of 59 for 1,000 highest-risk patients older than age 50 years. Cross-application of the Danish model to US-VA data had lower performance (AUROC = 0.71), and retraining was needed to improve performance (AUROC = 0.78, AUROC (3m) = 0.76). These results improve the ability to design realistic surveillance programs for patients at elevated risk, potentially benefiting lifespan and quality of life by early detection of this aggressive cancer.
A deep learning algorithm using electronic health records from two large cohorts of patients predicts the risk of pancreatic cancer from pre-cancer disease trajectories up to 3 years in advance, showing promising performance in retrospective validation.
Journal Article
A child's first book of Trump
\"A humorous satirical field guide for identifying and defeating a Trump when discovered in the wilds of a presidential election\"-- Provided by publisher.
BOOK
Current controversy, confusion, and imprecision in the use and interpretation of rectal MRI
There has been a rapid increase in the utilization of MRI in rectal cancer staging in the USA essentially replacing endorectal ultrasound and mimicking the trend in Europe seen in the 1990s and 2000s. Accompanying this trend, there is a demand, and recognized need, for greater precision and clarification of confusing, misunderstood and poorly understood concepts, facts, statements and nomenclature regarding rectal cancer and the use of pelvic MRI for diagnosis. As such, this Review, part evidence-based and part expert opinion, will attempt to elucidate and clarify several concepts the authors have encountered in 25 years of imaging rectal cancer, focusing on MRI.
Journal Article
Resistance exercise combined with protein supplementation for skeletal muscle mass in people with pancreatic cancer undergoing neoadjuvant chemotherapy: Study protocol for the REBUILD trial
Pancreatic cancer patients' prognosis may be limited by two conditions, cachexia and sarcopenia. Resistance exercise and protein supplementation are safe non-pharmacological strategies that may increase or preserve skeletal muscle mass within this population. Therefore, the primary aim of this study is to examine the feasibility of a home-based virtually supervised resistance exercise intervention, with or without protein supplementation in pancreatic cancer patients initiating neoadjuvant chemotherapy. This intervention may also maintain skeletal muscle mass and improve plasma biomarkers associated with muscle tissue wasting, physical function and psychological measures.
We aim to recruit 45 patients with locally advanced pancreatic cancer initiating neoadjuvant chemotherapy. Patients will be randomized to receive either Resistance Exercise (RE) (n = 15), Resistance Exercise and Protein Supplementation (RE + PS) (n = 15), or Attention Control (AC) (n = 15). Patients randomized to RE or RE + PS will receive 16-weeks of home-based virtually supervised resistance exercise. The AC will receive a 16-week stretching program. Primary and secondary outcomes will be measured at baseline and after 16 weeks during study visits.
The REBUILD trial is the first randomized controlled trial that combines resistance exercise with daily protein supplementation during neoadjuvant chemotherapy in pancreatic cancer patients. Our novel home-based virtually supervised exercise intervention seeks to mitigate barriers to participation in this vulnerable population. Furthermore, results of this trial will address important research gaps associated with pancreatic cancer-related cachexia, a condition closely connected with poor prognosis and mortality.
Journal Article
In Situ/Remote Sensing Integration to Assess Forest Health—A Review
For mapping, quantifying and monitoring regional and global forest health, satellite remote sensing provides fundamental data for the observation of spatial and temporal forest patterns and processes. While new remote-sensing technologies are able to detect forest data in high quality and large quantity, operational applications are still limited by deficits of in situ verification. In situ sampling data as input is required in order to add value to physical imaging remote sensing observations and possibilities to interlink the forest health assessment with biotic and abiotic factors. Numerous methods on how to link remote sensing and in situ data have been presented in the scientific literature using e.g. empirical and physical-based models. In situ data differs in type, quality and quantity between case studies. The irregular subsets of in situ data availability limit the exploitation of available satellite remote sensing data. To achieve a broad implementation of satellite remote sensing data in forest monitoring and management, a standardization of in situ data, workflows and products is essential and necessary for user acceptance. The key focus of the review is a discussion of concept and is designed to bridge gaps of understanding between forestry and remote sensing science community. Methodological approaches for in situ/remote-sensing implementation are organized and evaluated with respect to qualifying for forest monitoring. Research gaps and recommendations for standardization of remote-sensing based products are discussed. Concluding the importance of outstanding organizational work to provide a legally accepted framework for new information products in forestry are highlighted.
Journal Article
Pancreatic cancer is associated with medication changes prior to clinical diagnosis
Patients with pancreatic ductal adenocarcinoma (PDAC) commonly develop symptoms and signs in the 1–2 years before diagnosis that can result in changes to medications. We investigate recent medication changes and PDAC diagnosis in Nurses’ Health Study (NHS; females) and Health Professionals Follow-up Study (HPFS; males), including up to 148,973 U.S. participants followed for 2,994,057 person-years and 991 incident PDAC cases. Here we show recent initiation of antidiabetic (NHS) or anticoagulant (NHS, HFS) medications and cessation of antihypertensive medications (NHS, HPFS) are associated with pancreatic cancer diagnosis in the next 2 years. Two-year PDAC risk increases as number of relevant medication changes increases (
P
-trend <1 × 10
−5
), with participants who recently start antidiabetic and stop antihypertensive medications having multivariable-adjusted hazard ratio of 4.86 (95%CI, 1.74–13.6). These changes are not associated with diagnosis of other digestive system cancers. Recent medication changes should be considered as candidate features in multi-factor risk models for PDAC, though they are not causally implicated in development of PDAC.
Pancreatic cancer patients have previously been noted to have a change in medication history prior to diagnosis. Here, the authors utilise two large population cohorts to show associations between recent medication changes and risk of a subsequent pancreatic cancer diagnosis.
Journal Article
The Modified Checklist for Autism in Toddlers: A Follow-up Study Investigating the Early Detection of Autism Spectrum Disorders
Autism spectrum disorders (ASD) often go undetected in toddlers. The Modified Checklist for Autism in Toddlers (M-CHAT) was used to screen 3,793 children aged 16–30 months from low- and high-risk sources; screen positive cases were diagnostically evaluated. Re-screening was performed on 1,416 children aged 42–54 months. Time1 Positive Predictive Value (PPV) was .36 for the initial screening and .74 for the screening plus follow-up telephone interview; values were similar for Time2 PPV. When separating referral sources, PPV was low for the low-risk sample but acceptable with the follow-up telephone interview. Children with ASD from the low-risk and high-risk samples were highly similar. Results indicate that the M-CHAT continues to be a promising instrument for the early detection of ASD.
Journal Article