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A Hybrid Deep Learning–Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study

A Hybrid Deep Learning–Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study

Contemporary treatment strategies have led to improved life expectancy after treatment for pediatric cancer, especially in survivors of acute lymphocytic leukemia (ALL) [3]. Given that studies have shown that the promotion of a healthy lifestyle and interventions that reduce physical and mental health burdens can lead to reduction in all-cause and cause-specific mortality, addressing the risk factors of adverse functional outcomes early on is critical [4-6].

Tracy Huang, Chun-Kit Ngan, Yin Ting Cheung, Madelyn Marcotte, Benjamin Cabrera

JMIR Bioinform Biotech 2025;6:e65001

Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic

Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic

These immunotherapeutic strategies have received approval for the treatment of several cancer types such as lung cancer, prostate cancer, chronic lymphocytic leukemia, and non-Hodgkin lymphoma [2]. Immunotherapy offers substantial benefits in terms of precision, specificity, and long-term survival improvements, representing a significant breakthrough in cancer treatment [3]. Immunotherapy has made remarkable progress and demonstrated clinical value.

Xingyue Wu, Chun Sing Lam, Ka Ho Hui, Herbert Ho-fung Loong, Keary Rui Zhou, Chun-Kit Ngan, Yin Ting Cheung

J Med Internet Res 2025;27:e60948

The Characteristics, Uses, and Biases of Studies Related to Malignancies Using Google Trends: Systematic Review

The Characteristics, Uses, and Biases of Studies Related to Malignancies Using Google Trends: Systematic Review

Inclusion criteria Used tool: Google Trends Health domain: solid tumor, lymphoma, leukemia, multiple myeloma, and their screening method Language: English Type of paper: original research, brief report, letter to the editor, etc Exclusion criteria Used tool: other tools related to search engines statistics than Google Trends Health domain: not using at least one search term or topic related to malignancy or their screening method Language: non-English Type of paper: conference abstract We used the Pub Med search

Mikołaj Kamiński, Jakub Czarny, Piotr Skrzypczak, Krzysztof Sienicki, Magdalena Roszak

J Med Internet Res 2023;25:e47582

A Mobile App to Support Self-Management in Patients with Multiple Myeloma or Chronic Lymphocytic Leukemia: Pilot Randomized Controlled Trial

A Mobile App to Support Self-Management in Patients with Multiple Myeloma or Chronic Lymphocytic Leukemia: Pilot Randomized Controlled Trial

Among blood cancers, multiple myeloma (MM) and chronic lymphocytic leukemia (CLL) are the 2nd and 3rd most common types, respectively, and are considered incurable. MM and CLL have a chronic relapsing remitting course that often requires multiple lines of treatment [6,7]. This increases the potential for disease and treatment-related physical symptoms and emotional distress [6-9]. Interventions that target physical and emotional symptoms are lacking for blood cancer survivors.

Matthew R LeBlanc, Thomas W LeBlanc, Qing Yang, Jennifer McLaughlin, Kerry Irish, Sophia K Smith

JMIR Cancer 2023;9:e44533

The Patient Experience of Acute Lymphoblastic Leukemia and Its Treatment: Social Media Review

The Patient Experience of Acute Lymphoblastic Leukemia and Its Treatment: Social Media Review

Acute lymphoblastic leukemia (ALL) is an aggressive cancer of the blood and bone marrow that rapidly progresses and affects immature blood cells rather than mature ones [1]. ALL is the most common childhood cancer (ie, in patients under 18 years of age, the median age of diagnosis is 15 years), but it also accounts for approximately 20% of adult leukemias [2,3]. Childhood ALL has a cure rate as high as 90%, but the cure rate for adults is substantially lower, ranging from 20% to 40% [1,3,4].

Rebecca Crawford, Slaven Sikirica, Ross Morrison, Joseph C Cappelleri, Alexander Russell-Smith, Richa Shah, Helen Chadwick, Lynda Doward

JMIR Cancer 2023;9:e39852

The Health Care Utilization and Medical Costs in Long-Term Follow-Up of Children Diagnosed With Leukemia, Solid Tumor, or Brain Tumor: Population-Based Study Using the National Health Insurance Claims Data

The Health Care Utilization and Medical Costs in Long-Term Follow-Up of Children Diagnosed With Leukemia, Solid Tumor, or Brain Tumor: Population-Based Study Using the National Health Insurance Claims Data

Reference 53: Precision medicine in acute lymphoblastic leukemia Reference 62: Treatment outcomes of pediatric acute myeloid leukemia: a retrospective analysis from 1996 results of Taiwan Pediatric Oncology Group studies 1997 and 2002 for childhood acute lymphoblastic leukemialeukemiaThe Health Care Utilization and Medical Costs in Long-Term Follow-Up of Children Diagnosed With Leukemia

James S Miser, Ben-Chang Shia, Yi-Wei Kao, Yen-Lin Liu, Shih-Yen Chen, Wan-Ling Ho

JMIR Public Health Surveill 2023;9:e42350

Selection of the Optimal L-asparaginase II Against Acute Lymphoblastic Leukemia: An In Silico Approach

Selection of the Optimal L-asparaginase II Against Acute Lymphoblastic Leukemia: An In Silico Approach

Acute lymphoblastic leukemia is a malignant cancer of the white blood cells characterized by uncontrolled overproduction and accumulation of lymphoid progenitor cells [1]. It is most common among children, which compromise 80% of the worldwide acute lymphoblastic leukemia occurrences, although some cases in adults are also seen. It is equally life-threatening in both cases. In the United States, acute lymphoblastic leukemia is estimated to have a frequency of 1.7 cases per 100,000 people [2].

Adesh Baral, Ritesh Gorkhali, Amit Basnet, Shubham Koirala, Hitesh Kumar Bhattarai

JMIRx Med 2021;2(3):e29844

The GIMEMA-ALLIANCE Digital Health Platform for Patients With Hematologic Malignancies in the COVID-19 Pandemic and Postpandemic Era: Protocol for a Multicenter, Prospective, Observational Study

The GIMEMA-ALLIANCE Digital Health Platform for Patients With Hematologic Malignancies in the COVID-19 Pandemic and Postpandemic Era: Protocol for a Multicenter, Prospective, Observational Study

For example, careful evaluation of how long patients with leukemia can be managed without in-person follow-up visits, blood tests, and therapies, as well as close monitoring of potential complications during therapy, are now critical components of patient management during this global pandemic [8]. Therefore, special recommendations to optimize treatments for patients with hematologic malignancies during the COVID-19 pandemic have been recently published [8].

Fabio Efficace, Massimo Breccia, Paola Fazi, Francesco Cottone, Bernhard Holzner, Marco Vignetti

JMIR Res Protoc 2021;10(6):e25271

A Hematologist-Level Deep Learning Algorithm (BMSNet) for Assessing the Morphologies of Single Nuclear Balls in Bone Marrow Smears: Algorithm Development

A Hematologist-Level Deep Learning Algorithm (BMSNet) for Assessing the Morphologies of Single Nuclear Balls in Bone Marrow Smears: Algorithm Development

Baseline characteristics in three study cohorts. a ALL: acute lymphoblastic leukemia. b AML: acute myeloid leukemia. c MDS: myelodysplastic syndrome. d AA: aplastic anemia. e MM: myeloma. f MPD: myeloproliferative disease. To validate the model performance in real-world clinical practice, we designed a validation cohort for evaluating the disease severity of leukemia and MDS. We included 70 bone marrow smears from January 1, 2017, to June 30, 2018, with acute leukemia and MDS before and after treatment.

Yi-Ying Wu, Tzu-Chuan Huang, Ren-Hua Ye, Wen-Hui Fang, Shiue-Wei Lai, Ping-Ying Chang, Wei-Nung Liu, Tai-Yu Kuo, Cho-Hao Lee, Wen-Chiuan Tsai, Chin Lin

JMIR Med Inform 2020;8(4):e15963