25 papers · ranked by Valyu relevance
Keerthana Vinod Kumar, Ambuj Kumar, Kavita Kundal, Avik Sengupta + 3 more
Acute myeloid leukemia (AML) is one of the leading leukemic malignancies in adults. The heterogeneity of the disease makes the diagnosis and treatment extremely difficult. Despite the significant developments and the rapid advancements in finding new medication targets, the treatment for AML remains a challenge. With…
Ming Yi, Anping Li, Linghui Zhou, Qian Chu + 2 more
'Kongming Wu'] Background Acute myeloid leukemia (AML) is a common leukemia subtype and has a poor prognosis. The risk of AML is highly related to age. In the context of population aging, a comprehensive report presenting epidemiological trends of AML is evaluable for policy-marker to allocate healthy resources.…
Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja + 5 more
'Hiroki Kanezashi' 'Tim Kaler' 'Charles E. Leiserson' 'Tao B. Schardl'] Organized crime inflicts human suffering on a genocidal scale: the Mexican drug cartels have murdered 150,000 people since 2006; upwards of 700,000 people per year are "exported" in a human trafficking industry enslaving an estimated 40 million…
Raeuf Roushangar, George I. Mias
In 2018 alone, an estimated 20,000 new acute myeloid leukemia (AML) patients were diagnosed, in the United States, and over 10,000 of them are expected to die from the disease. AML is primarily diagnosed among the elderly (median 68 years old at diagnosis). Prognoses have significantly improved for younger patients…
Chin Yuet Meng, Puteri J. Noor, Azli Ismail, Mohd Fadly Md Ahid + 1 more
'Zubaidah Zakaria'] Acute myeloid leukemia (AML) is a heterogeneous disease in terms of cytogenetics and molecular genetics. AML is the most common acute leukemia in adults and its incidence increases with age. Diagnostic cytogenetics is an important prognostic indicator for predicting outcome of AML. We examined the…
Jiani Fan, Lwin Khin Shar, Ruichen Zhang, Ziyao Liu + 4 more
'Dusit Niyato' 'Bomin Mao' 'Kwok-Yan Lam'] Abstract—Money laundering is a financial crime that obscures the origin of illicit funds, necessitating the development and enforcement of anti-money laundering (AML) policies by governments and organizations. The proliferation of mobile payment platforms and smart IoT devices…
Srideshikan Sargur Madabushi, Jamison Brooks, Darren Zuro, Bijender Kumar + 19 more
Acute myeloid leukemia (AML) is a highly aggressive form of leukemia that results in poor survival outcomes. Currently, diagnosis and prognosis are based on invasive single-point bone marrow biopsies (iliac crest). There is currently no AML-specific non-invasive imaging method to assess disease in the whole body…
Laia Josa-Culleré, Katrina S. Madden, Thomas J. Cogswell, Thomas R. Jackson + 8 more
Induction of differentiation is a promising therapeutic strategy against acute myeloid leukemia. However, current differentiation therapies are effective only to specific patient populations. To identify novel differentiation agents with wider efficacy, we developed a phenotypic high-throughput screen with a range of…
Mark Weber, Giacomo Domeniconi, Jie Chen, Daniel Karl I. Weidele + 3 more
'C. Bellei' 'Thompson Robinson' 'Charles E. Leiserson'] Anti-money laundering (AML) regulations play a critical role in safeguarding financial systems, but bear high costs for institutions and drive financial exclusion for those on the socioeconomic and international margins. The advent of cryptocurrency has introduced…
Nhien‐An Le‐Khac, Sammer Markos, Tahar Kechadi
—Today, money laundering poses a serious threat not only to financial institutions but also to the nation. This criminal activity is becoming more and more sophisticated and seems to have moved from the cliché of drug trafficking to financing terrorism and surely not forgetting personal gain. Most international…
Pei-Yuan Yin, Rui-Wen Wang, Rui Jing, Xing Li + 3 more
'Kai-Min Li' 'Hua Wang'] Acute myeloid leukemia (AML) is the most common type of adult acute leukemia. The pathophysiology of the disease has been studied intensively at the cellular and molecular levels. At present, cytogenetic markers are an important basis for the early diagnosis, prognostic stratification and…
Ahmed N. Bakry, Almohammady S. Alsharkawy, Mohamed S. Farag, K. R. Raslan
'K. R. Raslan'] Anti-Money Laundering (AML) is a crucial task in ensuring the integrity of financial systems. One key challenge in AML is identifying high-risk groups based on their behavior. Unsupervised learning, particularly clustering, is a promising solution for this task. However, the use of hundreds of features…
Maria Leśniak, Anna Sekunda, Emilia Kamizela, Paulina Deleszkiewicz + 4 more
Acute myeloid leukemia (AML), the second most common type of leukemia in children, is a heterogeneous disease known to be caused by genetic, epigenetic, and transcriptional changes, predominantly somatic and germline abnormalities. Despite significant improvement of overall survival rates, the prognosis of pediatric…
Mehran Radak, Hossein Fallahi, Keyvan Karami
Acute Myeloid Leukemia (AML) is a challenging form of blood cancer requiring accurate relapse prediction for effective therapy and patient management. In this study, we applied multiple machine learning techniques to a dataset of AML patients in order to develop a reliable model for predicting relapse and guiding…
Shahin Ramazi, Neda Mohammadi, Abdollah Allahverdi, Elham Khalili + 1 more
'Parviz Abdolmaleki'] Title: Abstract Antimicrobial Peptides (AMPs) have been considered as potential alternatives for infection therapeutics since antibiotic resistance has been raised as a global problem. The AMPs are a group of natural peptides that play a crucial role in the immune system in various organisms AMPs…
Jhih-Hua Jhong, Yu-Hsiang Chi, Wen-Chi Li, Tsai-Hsuan Lin + 2 more
'Kai-Yao Huang' 'Tzong-Yi Lee'] Title: Abstract Antimicrobial peptides (AMPs), naturally encoded from genes and generally contained 10-100 amino acids, are crucial components of the innate immune system and can protect the host from various pathogenic bacteria, as well as viruses. In recent years, the widespread use of…
Authors not listed
Recent advances in machine learning force fields (MLFF) have significantly extended the reach of atomistic simulations. Continuous progress in this field requires reliable reference datasets, accurate MLFF architectures, and efficient active learning strategies to enable robust modeling of complex molecular and…
Taka Sawazaki, Daisuke Sasaki, Youhei Sohma
Amyloid catalysis is an emerging area of research. Here, we report a new catalysis system, i.e., catalysis driven by amyloid-substrate complex (CASL), by exploiting amyloid binding with the ligands. The ammonium ion attached to the amyloid-binding motif was activated by its proximity to the amyloid catalyst, formed by…
Calina Wu-Mo, Ariana Flores-González, Jezrael Meléndez-Delgado, Valerie Ortiz-Gómez + 4 more
Antimicrobial resistance (AMR) poses an escalating global health crisis driven by multidrug-resistant ESKAPE pathogens and emerging fungal threats such as Candida auris (C. auris). In response to this urgent need for new therapeutic strategies, antimicrobial peptides (AMPs) represent a mechanistically distinct…
Madeline Harper, Uma Nudurupati, Riley Workman, Taras Lakoba + 2 more
Using amylin(20-29) as a model system, we demonstrate that experimental constraints measured by Raman spectroscopy can be used to determine the molecular structure of amyloid fibrils. We employ polarized Raman spectroscopy measurements and the conformationally-sensitive Amide III3 mode to determine the distributions of…
Authors not listed
The United Nations have committed to end the epidemics of communicable diseases by 2030 (SDG Target 3.3). In contrast with this ambition, the rise of Multi Drug Resistant (MDR) and Pan Drug Resistant (PDR) bacteria poses a threat of a return to the pre-antibiotic era. It is of high priority to find new therapies that…
Amir Pandi, David Adam, Amir Zare, Van Tuan Trinh + 19 more
Bioactive peptides are key molecules in health and medicine. Deep learning holds a big promise for the discovery and design of bioactive peptides. Yet, suitable experimental approaches are required to validate candidates in high throughput and at low cost. Here, we established a cell- free protein synthesis (CFPS)…
Joseph Redshaw, Darren Ting, Alex Brown, Jonathan Hirst + 1 more
Antimicrobial peptides (AMPs) represent a potential solution to the growing problem of antimicrobial resistance, yet their identification through wet-lab experiments is a costly and timeconsuming process. Accurate computational predictions would allow rapid in silico screening of candidate AMPs, thereby accelerating…
Authors not listed
Neglected tropical diseases caused by trypanosomatid parasites such as Leishmania, Trypanosoma brucei and Trypanosoma cruzi present a major public healthcare issue due in part to emerging resistance. Exploring multiple targeting ligands, conjugates composed of analogs from the ribosomal inhibitor anisomycin and…
Samuel Renaud, Rachael Mansbach
Current antibacterial treatments cannot overcome the rapidly growing resistance of bacteria to antibiotic drugs, and novel treatment methods are required. One option is the development of new antimicrobial peptides (AMPs), to which bacterial resistance build-up is comparatively slow. Deep generative models have…