Publications by authors named "J Dolezal"
Article Synopsis
- Plant communities consist of species with varying functional traits and evolutionary backgrounds, leading to the expectation that functional diversity increases with phylogenetic diversity.* -
- Contrary to this expectation, a study of over 1.7 million vegetation plots showed that functional and phylogenetic diversity are weakly and negatively correlated, suggesting they operate independently.* -
- Phylogenetic diversity is more pronounced in forests and reflects recent climate, while functional diversity is influenced by both past and recent climate, highlighting the need to assess both types of diversity for ecosystem studies and conservation strategies.*
Article Synopsis
- Understanding tree growth in tropical forests is vital for carbon sequestration and assessing the impact of deforestation in these regions.
- A study in Mount Cameroon examined how climatic factors, like rainfall and temperature, affect the growth of 28 tree species across different elevations and seasonal conditions from 2015 to 2018.
- Findings indicated that tree growth was limited by both too little and too much water, with growth rates influenced by soil moisture levels and nighttime temperatures, highlighting the complexity of forest responses to climate variability.
Artificial intelligence models have been increasingly used in the analysis of tumor histology to perform tasks ranging from routine classification to identification of molecular features. These approaches distill cancer histologic images into high-level features, which are used in predictions, but understanding the biologic meaning of such features remains challenging. We present and validate a custom generative adversarial network-HistoXGAN-capable of reconstructing representative histology using feature vectors produced by common feature extractors.
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- Differentiated thyroid carcinoma is the most common type of endocrine cancer and has seen a rise in cases over the past 30 years, particularly affecting women, who often undergo total thyroidectomy followed by radioiodine treatment.
- This study aims to examine the impact of radioiodine therapy on ovarian function by measuring levels of Anti-Müllerian hormone (AMH), which helps assess ovarian reserve in women.
- Findings show a significant drop in AMH levels shortly after treatment, followed by a gradual increase, indicating that monitoring AMH could aid in creating tailored treatment plans for young women considering pregnancy after thyroid cancer treatment.
A deep learning model using attention-based multiple instance learning (aMIL) and self-supervised learning (SSL) was developed to perform pathologic classification of neuroblastic tumors and assess MYCN-amplification status using H&E-stained whole slide images from the largest reported cohort to date. The model showed promising performance in identifying diagnostic category, grade, mitosis-karyorrhexis index (MKI), and MYCN-amplification with validation on an external test dataset, suggesting potential for AI-assisted neuroblastoma classification.
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