Text summarization for pharmaceutical sciences using hierarchical clustering with a weighted evaluation methodology.

In the pharmaceutical industry, there is an abundance of regulatory documents used to understand the current regulatory landscape and proactively make project decisions. Due to the size of these documents, it is helpful for project teams to have informative summaries. We propose a novel solution, MedicoVerse, to summarize such documents using advanced machine learning techniques. MedicoVerse uses a multi-stage approach, combining word embeddings using the SapBERT model on regulatory documents. These embeddings are put through a critical hierarchical agglomerative clustering step, and the clusters are organized through a custom data structure. Each cluster is summarized using the bart-large-cnn-samsum model, and each summary is merged to create a comprehensive summary of the original document. We compare MedicoVerse results with established models T5, Google Pegasus, Facebook BART, and large language models such as Mixtral 8 × 7b instruct, GPT 3.5, and Llama-2-70b by introducing a scoring system that considers four factors: ROUGE score, BERTScore, business entities and the Flesch Reading Ease. Our results show that MedicoVerse outperforms the compared models, thus producing informative summaries of large regulatory documents.

A Cross-Sectional Study Comparing Application of Hanifin and Rajka Criteria in Indian Pediatric Atopic Dermatitis Patients to that of Other Countries.

Background: Hanifin and Rajka criteria are considered to be the gold standard for atopic dermatitis diagnosis. However, the exhaustive nature limits its use in clinical settings. Objective: To determine the frequency of Hanifin and Rajka criteria commonly found in Indian pediatric atopic dermatitis patients and variation from the findings of other studies. Material and Methods: An observational, descriptive study with a sample size of 52 pediatric atopic dermatitis patients. Patients were divided into infantile, childhood, and adolescent. Results: Overall, xerosis, early age of onset, Dennie-Morgan fold, aggravation because of environmental factors, palmar hyper-linearity, ichthyosis vulgaris, keratosis pilaris, pityriasis alba, and orbital darkening were found in more than 50% of patients. Dennie-Morgan fold was more commonly found in Indian pediatric atopic dermatitis patients. Peri-follicular accentuation was less prevalent in Indian patients as compared to other Asian studies. None of the parents reported food intolerance, which was seen in studies from other countries. Limitations: A small sample size and ophthalmological evaluation was not performed in all patients. Conclusion: The frequency of different Hanifin and Rajka minor criteria varies widely among different study populations. Hence, the criteria specifically applicable to the Indian population need to be derived for ease of diagnosis.

Pseudoepitheliomatous keratotic and micaceous balanitis with malignant transformation.

Pseudoepitheliomatous, keratotic and micaceous balanitis (PKMB) is a non-venereal and extremely rare pre-malignant condition characterized by silvery white plaque with micaceous scaling on glans seen in elderly uncircumcised men. Symptoms include phimosis, pain, and interference with sexual activity. Herein we present a young, 40-year-old male with PKMB of 5 years duration with deviation of urinary stream and histology showing acanthosis, hyperkeratosis with features of cellular atypia and abnormal mitosis suggestive of malignant transformation.