Development and Validation of an Ultrasound-Based Clinical Radiomics Nomogram for Diagnosing Gouty Arthritis DOI

Minghang Lin,

Lei Yan, Mei He

et al.

Ultrasound in Medicine & Biology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Challenges and opportunities in cancer immunotherapy: a Society for Immunotherapy of Cancer (SITC) strategic vision DOI Creative Commons
Leisha A. Emens, Pedro Romero, Ana C. Anderson

et al.

Journal for ImmunoTherapy of Cancer, Journal Year: 2024, Volume and Issue: 12(6), P. e009063 - e009063

Published: June 1, 2024

Cancer immunotherapy has flourished over the last 10–15 years, transforming practice of oncology and providing long-term clinical benefit to some patients. During this time, three distinct classes immune checkpoint inhibitors, chimeric antigen receptor-T cell therapies specific for two targets, bispecific T engagers, a vaccine, an oncolytic virus have joined cytokines as standard cancer care. At same scientific progress delivered vast amounts new knowledge. For example, advances in technologies such single-cell sequencing spatial transcriptomics provided deep insights into immunobiology tumor microenvironment. With rapid progress, field is currently at critical inflection point, with potential exponential growth next decade. Recognizing this, Society Immunotherapy convened diverse group experts representing academia, pharmaceutical biotechnology industries, patient advocacy, regulatory community identify current opportunities challenges goal prioritizing areas highest impact. The consensus identified seven high-priority opportunity field: mechanisms antitumor activity toxicity; drug resistance; biomarkers biospecimens; unique aspects novel therapeutics; host environmental interactions; premalignant immunity, interception, immunoprevention; trial design, endpoints, conduct. Additionally, roadblocks were discussed, several topics cross-cutting tools optimization, each impact multiple priority areas. These include preclinical models, data curation sharing, biopsies biospecimens, diversification funding sources, definitions standards, engagement. Finally, key guiding principles that will both optimize maximize field. engaging community; cultivating diversity, equity, inclusion, accessibility; leveraging power artificial intelligence accelerate progress. Here, we present outcomes these discussions strategic vision galvanize decade immunotherapy.

Language: Английский

Citations

25

Spatiotemporal omics for biology and medicine DOI
Longqi Liu, Ao Chen, Yuxiang Li

et al.

Cell, Journal Year: 2024, Volume and Issue: 187(17), P. 4488 - 4519

Published: Aug. 1, 2024

Language: Английский

Citations

24

AI-Assisted Detection of Biomarkers by Sensors and Biosensors for Early Diagnosis and Monitoring DOI Creative Commons
Tomasz Wasilewski, Wojciech Kamysz, Jacek Gębicki

et al.

Biosensors, Journal Year: 2024, Volume and Issue: 14(7), P. 356 - 356

Published: July 22, 2024

The steady progress in consumer electronics, together with improvement microflow techniques, nanotechnology, and data processing, has led to implementation of cost-effective, user-friendly portable devices, which play the role not only gadgets but also diagnostic tools. Moreover, numerous smart devices monitor patients' health, some them are applied point-of-care (PoC) tests as a reliable source evaluation patient's condition. Current practices still based on laboratory tests, preceded by collection biological samples, then tested clinical conditions trained personnel specialistic equipment. In practice, collecting passive/active physiological behavioral from patients real time feeding artificial intelligence (AI) models can significantly improve decision process regarding diagnosis treatment procedures via omission conventional sampling while excluding pathologists. A combination novel methods digital traditional biomarker detection portable, autonomous, miniaturized revolutionize medical diagnostics coming years. This article focuses comparison modern techniques AI machine learning (ML). presented technologies will bypass laboratories start being commercialized, should lead or substitution current Their application PoC settings technology accessible every patient appears be possibility. Research this field is expected intensify Technological advancements sensors biosensors anticipated enable continuous real-time analysis various omics fields, fostering early disease intervention strategies. integration health platforms would predictive personalized healthcare, emphasizing importance interdisciplinary collaboration related scientific fields.

Language: Английский

Citations

21

Future of Artificial Intelligence (AI) - Machine Learning (ML) Trends in Pathology and Medicine DOI Creative Commons
Matthew G. Hanna,

Liron Pantanowitz,

Rajesh Dash

et al.

Modern Pathology, Journal Year: 2025, Volume and Issue: 38(4), P. 100705 - 100705

Published: Jan. 5, 2025

Artificial intelligence (AI) and machine learning (ML) are transforming the field of medicine. Health care organizations now starting to establish management strategies for integrating such platforms (AI-ML toolsets) that leverage computational power advanced algorithms analyze data provide better insights ultimately translate enhanced clinical decision-making improved patient outcomes. Emerging AI-ML trends in pathology medicine reshaping by offering innovative solutions enhance diagnostic accuracy, operational workflows, decision support, These tools also increasingly valuable research which they contribute automated image analysis, biomarker discovery, drug development, trials, productive analytics. Other related include adoption ML operations managing models settings, application multimodal multiagent AI utilize diverse sources, expedited translational research, virtualized education training simulation. As final chapter our educational series, this review article delves into current adoption, future directions, transformative potential medicine, discussing their applications, benefits, challenges, perspectives.

Language: Английский

Citations

4

Biomarkers in inflammatory bowel disease: a practical guide DOI Creative Commons
Jennifer Clough,

M Colwill,

Andrew Poullis

et al.

Therapeutic Advances in Gastroenterology, Journal Year: 2024, Volume and Issue: 17

Published: Jan. 1, 2024

Inflammatory bowel disease (IBD), comprising ulcerative colitis (UC) and Crohn’s (CD), is a costly condition in terms of morbidity healthcare utilization, with an increasing prevalence now approaching 1% the Western world. Endoscopic assessment IBD remains gold standard for diagnosis, evaluation treatment response determination post-operative recurrence, but expensive invasive. Biomarkers can facilitate non-invasive assessment, C-reactive protein faecal calprotectin as most widely available biomarkers current clinical practice. This narrative review summarizes evidence their use both UC CD offers practical guidance providers taking into account limitations biomarker interpretation. We present future novel discuss how discovery could deliver goal precision medicine IBD.

Language: Английский

Citations

9

Immunotherapy and Cancer: The Multi-Omics Perspective DOI Open Access

Clelia Donisi,

Andrea Pretta, Valeria Pusceddu

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(6), P. 3563 - 3563

Published: March 21, 2024

Immunotherapies have revolutionized cancer treatment approaches. Because not all patients respond positively to immune therapeutic agents, it represents a challenge for scientists who strive understand the mechanisms behind such resistance. In-depth exploration of tumor biology, using novel technologies as omics science, can help decode role microenvironment (TIME) in producing response blockade strategies. It also identify biomarkers patient stratification and personalized treatment. This review aims explore these new models highlight their possible pivotal changing clinical practice.

Language: Английский

Citations

8

Artificial intelligence-based biomarkers for treatment decisions in oncology DOI Creative Commons
Marta Ligero, Omar S.M. El Nahhas, Mihaela Aldea

et al.

Trends in cancer, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

The development of new therapeutic strategies such as immune checkpoint inhibitors (ICIs) and targeted therapies has increased the complexity treatment landscape for solid tumors. At current rate annual FDA approvals, potential options could increase by tenfold over next 5 years. cost personalized medicine technologies limits its accessibility, thus increasing socioeconomic disparities in treated population. In this review we describe artificial intelligence (AI)-based solutions - including deep learning (DL) methods routine medical imaging large language models (LLMs) electronic health records (EHRs) to support cancer decisions with cost-effective biomarkers. We address limitations these propose steps towards their adoption clinical practice.

Language: Английский

Citations

1

Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer DOI Creative Commons
Zhichao Wang, Yan Hu, Jun Cai

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 25, 2025

Language: Английский

Citations

1

Impact of comorbidity on survival in cancer patients receiving immune checkpoint inhibitors DOI Creative Commons
Merih Yalçıner, Satı Coşkun Yazgan, Eda Eylemer Mocan

et al.

Clinical & Translational Oncology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Language: Английский

Citations

1

Epigenetic Targets and Their Inhibitors in the Treatment of Idiopathic Pulmonary Fibrosis DOI

Xiaohui Miao,

Pan Liu, Yangyang Liu

et al.

European Journal of Medicinal Chemistry, Journal Year: 2025, Volume and Issue: 289, P. 117463 - 117463

Published: March 1, 2025

Language: Английский

Citations

1