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Deep learning prediction of pathological complete response in breast cancer using Mamba architecture

Wenchuan Zhang, Shuwan Zhang, Fengling Li, Yuanyuan Zhao et al. • npj Digital Medicine (2026)

Abstract Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current methods predominantly rely on convolutional neural networks or transformer architectur...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-026-02849-2

A career in medical informatics

Mohammad Al‐Ubaydli • BMJ (2002)

Mohammad Al-Ubaydli explains how to have a career in medical informatics1 If you want to understand why I love technology, take a look at my hearing aid. Just before starting my house job, my nightmare scenario was of being deafened by the...

OPENALEX DOI: https://doi.org/10.1136/sbmj.0208279

Medical Informatics and Pediatrics-Reply

Mitchell J. Feldman • Archives of Pediatrics and Adolescent Medicine (1996)

We, too, are pleased by the contributions that theArchiveshas made to the medical informatics literature. It is noteworthy that from a historical perspective, the American Journal of Diseases of Children had a reputation for publishing land...

OPENALEX DOI: https://doi.org/10.1001/archpedi.1996.02170330108024

A method for automatically extracting infectious disease-related primers and probes from the literature

Pérez-Rey David, de la Iglesia Diana, de la Calle Guillermo, López-Campos Guillermo et al. • BMC Bioinformatics (2010)

Abstract Background Primer and probe sequences are the main components of nucleic acid-based detection systems. Biologists use primers and probes for different tasks, some related to the diagnosis and prescription of infectious diseases. Th...

DOAJ Open Access (DOAJ) DOI: 10.1186/1471-2105-11-410

Development and validation of an interpretable machine learning model for predicting the risk of coronary heart disease risk in diabetes mellitus patients: a dual-center retrospective study

Ye Kuang, Yan Yu, Jing Li, Chuanmei Peng et al. • BMC Medical Informatics and Decision Making (2026)

Abstract Background Diabetes mellitus (DM) combined with coronary heart disease (CHD) significantly increases the risk of cardiovascular events with a greater mortality rate. Therefore, establishing a predictive model can help DM patients r...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-026-03461-w

Behind the scars: adolescents with non-suicidal self-injury disorder show profound personality pathology

Manuela Gander, Kirstin Goth, Josef Fritz, Kathrin Sevecke • Child and Adolescent Psychiatry and Mental Health (2026)

Abstract Background Non-suicidal self-injury is a significant clinical concern in adolescent psychiatry and frequently co-occurs with a range of psychiatric disorders, including mood disorders, eating disorders, substance use disorders, and...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13034-026-01075-8

Analysis of Strengths, Weaknesses, Opportunities and Threats of E-learning from the Perspective of Experts in the Period of COVID-19 Pandemic

Mahdi Moeinikia, Shahram Mehravar Giglouu, Salim Kazami, Meisam Mirzaei Shojakhanlou et al. • Interdisciplinary Journal of Virtual Learning in Medical Sciences (2022)

Background: Today, e-learning has become one of the basic components of education process, especially in higher education. Institutions and universities employ e-learning extensively in their educational operations. In light of this, the go...

DOAJ Open Access (DOAJ) DOI: 10.30476/ijvlms.2022.94428.1133

An Integrated Approach for Designing and Analyzing Lumbar Vertebral Biomodels with Artificial Disc Replacement

Mhd Ayham Darwich, Katreen Ebrahem, Maysaa Shash, Hasan Mhd Nazha et al. • Applied Mechanics (2023)

This study aims to develop an integrated approach for 3D lumbar vertebral biomodel design and analysis, specifically targeting unilevel disc degeneration and the replacement of lumbar artificial discs. Key objectives include improving exist...

DOAJ Open Access (DOAJ) DOI: 10.3390/applmech4040063

Image-Based RCS Estimation from Near-Field Data

Tushar Rajvanshi, Maria Antonia Maisto, Angela Dell’Aversano, Raffaele Solimene • Journal of Imaging (2019)

This paper deals with the problem of estimating the RCS from near-field data by image-based approaches. In particular, a rigorous focusing procedure based on a weighted adjoint scheme, which is also applicable to an arbitrary measurement cu...

DOAJ Open Access (DOAJ) DOI: 10.3390/jimaging5060061

Examining Rural and Urban Sentiment Difference in COVID-19–Related Topics on Twitter: Word Embedding–Based Retrospective Study

Yongtai Liu, Zhijun Yin, Congning Ni, Chao Yan et al. • Journal of Medical Internet Research (2023)

BackgroundBy the end of 2022, more than 100 million people were infected with COVID-19 in the United States, and the cumulative death rate in rural areas (383.5/100,000) was much higher than in urban areas (280.1/100,000). As the pandemic s...

DOAJ Open Access (DOAJ) DOI: 10.2196/42985

A Severe Acute Respiratory Syndrome extranet: supporting local communication and information dissemination

Kealey Cathy M, Akhtar-Danesh Noori, Valaitis Ruta K, Brunetti Glenn M et al. • BMC Medical Informatics and Decision Making (2005)

Abstract Background The objective of this study was to explore the use and perceptions of a local Severe Acute Respiratory Syndrome (SARS) Extranet and its potential to support future information and communication applications. The SARS Ext...

DOAJ Open Access (DOAJ) DOI: 10.1186/1472-6947-5-17

Identification of brain regions predicting epileptogenesis by serial [18F]GE-180 positron emission tomography imaging of neuroinflammation in a rat model of temporal lobe epilepsy

Vera Russmann, Matthias Brendel, Erik Mille, Angela Helm-Vicidomini et al. • NeuroImage: Clinical (2017)

Excessive activation of inflammatory signaling pathways seems to be a hallmark of epileptogenesis. Positron emission tomography (PET) allows in vivo detection of brain inflammation with spatial information and opportunities for longitudinal...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2017.04.003

Oxygen nanobubbles of ICG dimers achieve self-cascade photothermal and photodynamic therapy for hypoxia-reversible tumor treatment

Xiang Sun, Zheng Zhang, Moran Wang, Yuqin Chen et al. • Nano Research (2025)

Simultaneous photothermal and photodynamic therapies (PTT and PDT) hold great promise for noninvasive tumor therapy. However, effective regulation of PTT and PDT with optimal synergistic effects remains a challenge. To date, there are only ...

DOAJ Open Access (DOAJ) DOI: 10.26599/NR.2025.94907281

Identifying peer experts in online health forums

V.G.Vinod Vydiswaran, Manoj Reddy • BMC Medical Informatics and Decision Making (2019)

Abstract Background Online health forums have become increasingly popular over the past several years. They provide members with a platform to network with peers and share information, experiential advice, and support. Among the members of ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-019-0782-3

Multidetector Computed Tomography (MDCT) Findings of Complications of Acute Cholecystitis. A Pictorial Essay

Fabio Sandomenico, Luca Sanduzzi, Emilia La Verde, Emilio Vicenzo et al. • Tomography (2022)

Acute cholecystitis stands out as one of the most common surgical pathologies that should always be considered in a right-upper abdominal pain emergency. For this, the importance of a correct diagnosis is well described. However, it has bee...

DOAJ Open Access (DOAJ) DOI: 10.3390/tomography8020095

Medical informaticsʼ promised land

Mark E. Frisse • Academic Medicine (1999)

A decade ago, a "promised land" was envisioned in which the true potential of medical informatics would be realized. A decade later, it is time to assess academic medicine's progress in its journey into this medical informatics promised lan...

OPENALEX DOI: https://doi.org/10.1097/00001888-199912000-00010

Section IV. Medical Informatics

• CRC Press eBooks (2006)

WHAT IS IT? In the summer of 2004 I was invited to lecture at Dartmouth. Dr. Rosen, my host,asked me if I could address my interpretation of Medical Informatics during my lecture. Thispresentation made me review and reflect on some old and ...

OPENALEX DOI: https://doi.org/10.1201/9781420003864-47