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Exploiting protein language models for the precise classification of ion channels and ion transporters

Author(s): Ghazikhani H; Butler G;

This study introduces TooT-PLM-ionCT, a comprehensive framework that consolidates three distinct systems, each meticulously tailored for one of the following tasks: distinguishing ion channels (ICs) from membrane proteins (MPs), segregating ion transporters ...

Article GUID: 38656743


SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage

Author(s): Aktar M; Xiao Y; Tehrani AKZ; Tampieri D; Rivaz H; Kersten-Oertel M;

This study conducts collateral evaluation from ischemic damage using a deep learning-based Siamese network, addressing the challenges associated with a small and imbalanced dataset. The collateral network provides an alternative oxygen and nutrient supply p ...

Article GUID: 38364600


The State of Artificial Intelligence in Skin Cancer Publications

Author(s): Joly-Chevrier M; Nguyen AX; Liang L; Lesko-Krleza M; Lefrançois P;

Background: Artificial intelligence (AI) in skin cancer is a promising research field to assist physicians and to provide support to patients remotely. Physicians' awareness to new developments in AI research is important to define the best practices an ...

Article GUID: 38323537


Machine Learning-Assisted Short-Wave InfraRed (SWIR) Techniques for Biomedical Applications: Towards Personalized Medicine

Author(s): Salimi M; Roshanfar M; Tabatabaei N; Mosadegh B;

Personalized medicine transforms healthcare by adapting interventions to individuals' unique genetic, molecular, and clinical profiles. To maximize diagnostic and/or therapeutic efficacy, personalized medicine requires advanced imaging devices and senso ...

Article GUID: 38248734


Deep learning for tooth identification and enumeration in panoramic radiographs

Author(s): Sadr S; Mohammad-Rahimi H; Ghorbanimehr MS; Rokhshad R; Abbasi Z; Soltani P; Moaddabi A; Shahab S; Rohban MH; ...

Background: Dentists begin the diagnosis by identifying and enumerating teeth. Panoramic radiographs are widely used for tooth identification due to their large field of view and low exposure dose. ...

Article GUID: 38169618


Editorial: Computational systems immunovirology

Author(s): Zarei Ghobadi M; Teymoori-Rad M; Selvaraj G; Wei DQ;

No abstract available

Article GUID: 37475870


Prospects of Novel and Repurposed Immunomodulatory Drugs against Acute Respiratory Distress Syndrome (ARDS) Associated with COVID-19 Disease

Author(s): Nayak SS; Naidu A; Sudhakaran SL; Vino S; Selvaraj G;

Acute respiratory distress syndrome (ARDS) is intricately linked with SARS-CoV-2-associated disease severity and mortality, especially in patients with co-morbidities. Lung tissue injury caused as a consequence of ARDS leads to fluid build-up in the alveola ...

Article GUID: 37109050


Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data

Author(s): Shamshiri MA; Krzyzak A; Kowal M; Korbicz J;

Microscopic analysis of breast cancer images is the primary task in diagnosing cancer malignancy. Recent attempts to automate this task have employed deep learning models whose success has depended on large volumes of data, while acquiring annotated data in ...

Article GUID: 36758326


Deep learning approach to security enforcement in cloud workflow orchestration

Author(s): El-Kassabi HT; Serhani MA; Masud MM; Shuaib K; Khalil K;

Supporting security and data privacy in cloud workflows has attracted significant research attention. For example, private patients' data managed by a workflow deployed on the cloud need to be protected, and communication of such data across multiple st ...

Article GUID: 36691661


UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection

Author(s): Abdar M; Salari S; Qahremani S; Lam HK; Karray F; Hussain S; Khosravi A; Acharya UR; Makarenkov V; Nahavandi S; ...

The COVID-19 (Coronavirus disease 2019) pandemic has become a major global threat to human health and well-being. Thus, the development of computer-aided detection (CAD) systems that are capable of ...

Article GUID: 36217534


A Deep Learning Approach to Capture the Essence of Candida albicans Morphologies

Author(s): Bettauer V; Costa ACBP; Omran RP; Massahi S; Kirbizakis E; Simpson S; Dumeaux V; Law C; Whiteway M; Hallett MT; ...

We present deep learning-based approaches for exploring the complex array of morphologies exhibited by the opportunistic human pathogen Candida albicans. Our system, entitled Candescence, automatic ...

Article GUID: 35972285


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