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1.
Clin Dermatol ; 42(3): 207-209, 2024.
Article in English | MEDLINE | ID: mdl-38181889

ABSTRACT

Artificial Intelligence (AI) is a very powerful new tool that is destined to markedly advance many areas of dermatology, including cosmetic dermatology, oculoplastics, cancer detection and treatment, dermatopathlogy, and identification of pathogens. Along with these are some special new risks and concerns, however, including ethical considerations, data analysis, interpretation of scientific studies, and recognizing systematic failures and fraud, particularly in generative AI. Each of these issues is reviewed collectively and in turn in this special of Clinics in Dermatology.


Subject(s)
Artificial Intelligence , Dermatology , Humans , Dermatology/methods , Skin Diseases/diagnosis
2.
Clin Dermatol ; 42(3): 268-274, 2024.
Article in English | MEDLINE | ID: mdl-38181890

ABSTRACT

This study explored the integration and impact of artificial intelligence (AI) in diagnostic pathology, particularly dermatopathology, assessing its challenges and potential solutions for global health care enhancement. A comprehensive literature search in PubMed and Google Scholar, conducted on March 30, 2023, and using terms related to AI, pathology, and machine learning, yielded 44 relevant publications. These were analyzed under themes including the evolution of deep learning in pathology, AI's role in replacing pathologists, development challenges of diagnostic algorithms, clinical implementation hurdles, strategies for practical application in dermatopathology, and future prospects of AI in this field. The findings highlight AI's transformative potential in pathology, underscore the need for ongoing research, collaboration, and regulatory dialogue, and emphasize the importance of addressing the ethical and practical challenges in AI implementation for improved global health care outcomes.


Subject(s)
Artificial Intelligence , Skin Diseases , Humans , Algorithms , Deep Learning , Dermatology/methods , Pathology, Clinical , Skin Diseases/diagnosis
3.
Clin Dermatol ; 42(3): 233-258, 2024.
Article in English | MEDLINE | ID: mdl-38185195

ABSTRACT

We describe a novel assay and artificial intelligence-driven histopathologic approach identifying dermatophytes in human skin tissue sections (ie, B-DNA dermatophyte assay) and demonstrate, for the first time, the presence of dermatophytes in tissue using immunohistochemistry to detect canonical right-handed double-stranded (ds) B-DNA. Immunohistochemistry was performed using anti-ds-B-DNA monoclonal antibodies with formalin-fixed paraffin-embedded tissues to determine the presence of dermatophytes. The B-DNA assay resulted in a more accurate identification of dermatophytes, nuclear morphology, dimensions, and gene expression of dermatophytes (ie, optical density values) than periodic acid-Schiff (PAS), Grocott methenamine silver (GMS), or hematoxylin and eosin (H&E) stains. The novel assay guided by artificial intelligence allowed for efficient identification of different types of dermatophytes (eg, hyphae, microconidia, macroconidia, and arthroconidia). Using the B-DNA dermatophyte assay as a clinical tool for diagnosing dermatophytes is an alternative to PAS, GMS, and H&E as a fast and inexpensive way to accurately detect dermatophytosis and reduce the number of false negatives. Our assay resulted in superior identification, sensitivity, life cycle stages, and morphology compared to H&E, PAS, and GMS stains. This method detects a specific structural marker (ie, ds-B-DNA), which can assist with diagnosis of dermatophytes. It represents a significant advantage over methods currently in use.


Subject(s)
Arthrodermataceae , Artificial Intelligence , DNA, Fungal , Humans , Arthrodermataceae/isolation & purification , DNA, Fungal/analysis , Immunohistochemistry , Tinea/diagnosis , Tinea/microbiology , Skin/microbiology , Skin/pathology , Sensitivity and Specificity , Dermatomycoses/diagnosis , Dermatomycoses/microbiology
4.
Expert Opin Drug Discov ; 2(3): 381-401, 2007 Mar.
Article in English | MEDLINE | ID: mdl-23484648

ABSTRACT

Cell biology has added immensely to the understanding of basic biologic concepts. However, scientists need to use cell biology more in the proteomic-genomic revolution. The authors have developed two novel techniques: transitional structural chemogenomics (TSCg) and transitional structural chemoproteomics (TSCp). TSCg is used to regulate gene expression by using ultrasensitive small-molecule drugs that target nucleic acids. By using chemicals to target transitional changes in the helical conformations of single-stranded (ss) and double-stranded (ds) DNA (e.g., B- to Z-DNA) and RNA (e.g., A- to Z-RNA), gene expression can be regulated (i.e., turning genes 'on/off' and variably controlling them). Alternative types of ds- and ssDNA and RNA (e.g., cruciform DNA) and other multistranded nucleic acids (e.g., triplex-DNA) are also targeted by this method. The authors' second technique, TSCp, targets a protein before, during or after post-translational modifications, which alters the protein's structure and function. These novel methods represent the next step in the evolution of chemical genomics and chemical proteomics. In addition, a novel multi-stranded (alternative) DNA, RNA and plasmid microarray has been developed that allows for the immobilization of intact, non-denatured dsDNA, alternative (i.e., exotic) and other multiple-stranded nucleic acids. This represents the next generation of nucleic acid microarrays, which will aid in the characterization of nucleic acids, studying the ageing process and improving the drug discovery process. The authors discuss how cell biology can be used to enhance genomics and proteomics. Cell biology will play a greater role during the postgenomic age and will help to enhance the omics/omes and drug discovery. It is the authors' hope that these novel approaches can be used together with cellular biologic techniques to make major contributions towards understanding and manipulating different genomes.

5.
Cell Biol Int ; 28(11): 755-64, 2004.
Article in English | MEDLINE | ID: mdl-15563397

ABSTRACT

The scientific techniques used in molecular biological research and drug discovery have changed dramatically over the past 10 years due to the influence of genomics, proteomics and bioinformatics. Furthermore, genomics and functional genomics are now merging into a new scientific approach called chemogenomics. Advancements in the study of molecular cell biology are dependent upon "omics" researchers realizing the importance of and using the experimental tools currently available to cell biologists. For example, novel microscopic techniques utilizing advanced computer imaging allow for the examination of live specimens in a fourth dimension, viz., time. Yet, molecular biologists have not taken full advantage of these and other traditional and novel cell biology techniques for the further advancement of genomic and proteomic-oriented research. The application of traditional and novel cellular biological techniques will enhance the science of genomics. The authors hypothesize that a stronger interdisciplinary approach must be taken between cell biology (and its closely related fields) and genomics, proteomics and bio-chemoinformatics. Since there is a lot of confusion regarding many of the "omics" definitions, this article also clarifies some of the basic terminology used in genomics, and related fields. It also reviews the current status and future potential of chemogenomics and its relationship to cell biology. The authors also discuss and expand upon the differences between chemogenomics and the relatively new term--chemoproteomics. We conclude that the advances in cell biology methods and approaches and their adoption by "omics" researchers will allow scientists to maximize our knowledge about life.


Subject(s)
Biology , Drug Design , Genomics , Proteomics , Humans , Pharmacogenetics
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