Thorium Alters Lung Surfactant Protein Expression in Alveolar Epithelial Cells: In Vitro and In Vivo Investigation.

Thorium-232 (Th), the most abundant naturally occurring nuclear fuel, has been identified as a sustainable source of energy. In view of its large-scale utilization and human evidence of lung disorders and carcinogenicity, it is imperative to understand the effect of Th exposure on lung cells. The present study investigated the effect of Th-dioxide (1-100 µg/mL, 24-48 h) on expression of surfactant proteins (SPs) (SP-A, SP-B, SP-C, and SP-D, which are essential to maintain lung's surface tension and host-defense) in human lung cells (WI26 and A549), representative of alveolar cell type-I and type-II, respectively. Results demonstrated the inhibitory effect of Th on transcriptional expression of SP-A, SP-B, and SP-C. However, Th promoted the mRNA expression of SP-D in A549 and reduced its expression in WI26. To a significant extent, the effect of Th on SPs was found to be in accordance with their protein levels. Moreover, Th exposure altered the extracellular release of SP-D/A from A549, which remained unaltered in WI26. Our results suggested the differential role of oxidative stress and ATM and HSP90 signaling in Th-induced alterations of SPs. These effects of Th were found to be consistent in lung tissues of mice exposed to Th aerosols, suggesting a potential role of SPs in Th-associated lung disorders.

Nano-inducer of ferroptosis for targeted chemotherapy of human triple negative breast carcinoma.

Triple negative breast carcinoma (TNBC) accounts for 15-20 % of all incident breast cancers (BC) and is known to be highly invasive, has fewer treatment options, and tends to have a worse prognosis. However, due to its biological heterogeneity and diverse clinical and epidemiological behaviors, TNBC lacks a tumor-specific targeted therapy. In the present work we have developed a TNBC-specific targeted nano-delivery agent comprising of a cRGD labeled magneto-liposome (T-LMD) co-encapsulated with oleic acid coated iron oxide nanoparticles (MN-OA) and doxorubicin (Dox) in the liposome bilayer and core, respectively. T-LMD was found to show enhanced uptake and induction of ferroptotic cell death in MDA-MB-231, a TNBC model cell line. Additionally, T-LMD induced ferroptosis was found to be accompanied by release of HMGB1, an immunogenic cell death marker, suggesting its immunogenicity for augmenting the activation of anti-tumor immunity in TNBC. The strategic placement of IONPs in the liposome bilayer of T-LMD facilitates the sensitization of MDA-MB-231 cells to undergo ferroptosis; predominantly via the activation of the iron/lipid metabolism pathway, as validated by use of small molecule ferroptosis inhibitor (ferrostatin-1) and iron chelator (deferoxamine). Activation of ferroptotic cell death was also corroborated by ferroptosis specific-ultrastructural alterations in the shape/size of cellular mitochondria and cell ballooning as observed by transmission electron microscopy and bright field imaging, respectively. Thus, our ferroptosis nano-inducer (T-LMD) can efficiently kill TNBC cells via enhanced LPO and ROS generation leading to membrane damage and consequent release of LDH and HMGB1, induce mitochondrial alterations and enhanced DNA double strand breaks. Altogether, our results suggest significant implications of T-LMD for treatment of TNBC.

Predictive healthcare modeling for early pandemic assessment leveraging deep auto regressor neural prophet.

In this paper, NeuralProphet (NP), an explainable hybrid modular framework, enhances the forecasting performance of pandemics by adding two neural network modules; auto-regressor (AR) and lagged-regressor (LR). An advanced deep auto-regressor neural network (Deep-AR-Net) model is employed to implement these two modules. The enhanced NP is optimized via AdamW and Huber loss function to perform multivariate multi-step forecasting contrast to Prophet. The models are validated with COVID-19 time-series datasets. The NP's efficiency is studied component-wise for a long-term forecast for India and an overall reduction of 60.36% and individually 34.7% by AR-module, 53.4% by LR-module in MASE compared to Prophet. The Deep-AR-Net model reduces the forecasting error of NP for all five countries, on average, by 49.21% and 46.07% for short-and-long-term, respectively. The visualizations confirm that forecasting curves are closer to the actual cases but significantly different from Prophet. Hence, it can develop a real-time decision-making system for highly infectious diseases.

Through the wall human heart beat detection using single channel CW radar.

Single-channel continuous wave (CW) radar is widely used and has gained popularity due to its simple architecture despite its inability to measure the range and angular location of the target. Its popularity arises in the industry due to the simplicity of the required components, the low demands on the sampling rate, and their low costs. Through-the-wall life signs detection using microwave Doppler Radar is an active area of research and investigation. Most of the work in the literature focused on utilizing multi-channel frequency modulated continuous wave (FMCW), CW, and ultra-wideband (UWB) radar for their capability of range and direction of arrival (DOA) estimation. In this paper, through-the-wall single-subject and two-subject concurrent heart rate detection using single-channel 24-GHz CW radar leveraged with maximal overlap discrete wavelet transform (MODWT) is proposed. Experimental results demonstrated that the repetitive measurement of seven different subjects at a distance of 20 cm up to 100 cm through two different barriers (wood and brick wall) showed an average accuracy of heart rate extraction of 95.27% for varied distances (20-100 cm) in comparison with the Biopac ECG acquisition signal. Additionally, the MODWT method can also isolate the independent heartbeat waveforms from the two subjects' concurrent measurements through the wall. This involved four trials with eight different subjects, achieving an accuracy of 97.04% for a fixed distance of 40 cm from the Radar without estimating the angular location of the subjects. Notably, it also superseded the performance of the direct FFT method for the single subject after 40 cm distance measurements. The proposed simpler architecture of single-channel CW radar leveraged with MODWT has several potential applications, including post-disaster search and rescue scenarios for finding the trapped, injured people under the debris, emergency evacuation, security, surveillance, and patient vital signs monitoring.

Genomic database furnishes a spontaneous example of a functional Class II glycyl-tRNA synthetase urzyme.

The chief barrier to studies of how genetic coding emerged is the lack of experimental models for ancestral aminoacyl-tRNA synthetases (AARS). We hypothesized that conserved core catalytic sites could represent such ancestors. That hypothesis enabled engineering functional "urzymes" from TrpRS, LeuRS, and HisRS. We describe here a fourth urzyme, GlyCA, detected in an open reading frame from the genomic record of the arctic fox, Vulpes lagopus. GlyCA is homologous to a bacterial heterotetrameric Class II GlyRS-B. Alphafold2 predicted that the N-terminal 81 amino acids would adopt a 3D structure nearly identical to the HisRS urzyme (HisCA1). We expressed and purified that N-terminal segment. Enzymatic characterization revealed a robust single-turnover burst size and a catalytic rate for ATP consumption well in excess of that previously published for HisCA1. Time-dependent aminoacylation of tRNAGly proceeds at a rate consistent with that observed for amino acid activation. In fact, GlyCA is actually 35 times more active in glycine activation by ATP than the full-length GlyRS-B α-subunit dimer. ATP-dependent activation of the 20 canonical amino acids favors Class II amino acids that complement those favored by HisCA and LeuAC. These properties reinforce the notion that urzymes represent the requisite ancestral catalytic activities to implement a reduced genetic coding alphabet.

Daratumumab in Indian patients with relapsed and refractory multiple myeloma: a prospective, multicenter, phase IV study.

Aim: To assess the safety and effectiveness of daratumumab monotherapy in Indian patients with relapsed/refractory multiple myeloma. Methods: In this prospective, multicenter, phase IV study, patients (aged ≥18 years) received intravenous daratumumab (16 mg/kg) in six cycles. Safety was the primary end point. Results: Of the 139 patients included, 121 (87.1%) experienced ≥1 treatment-emergent adverse events (TEAEs; 53 [38.1%] drug-related), 32 (23%) had ≥1 serious TEAEs (five [3.6%] drug-related) and 16 (11.5%) deaths were reported (one death [0.7%] was drug-related). Overall response rate was 26.3%; 62.7% of patients had stable disease. Median time to first response and median progression-free survival were 5.2 and 5.9 months, respectively. Functional status and well-being were improved. Conclusion: Daratumumab showed an acceptable and expected safety profile with consistent efficacy, providing a novel therapeutic option for relapsed/refractory multiple myeloma management in India.

Daratumumab is a monoclonal antibody approved for the treatment of patients with relapsed/refractory multiple myeloma (RRMM). This study evaluated the outcome of daratumumab single therapy in Indian patients who were not cured with other drugs used for the same disease. 139 adult patients were included in this study from 15 institutes across India. Daratumumab (16 mg/kg) was diluted with 500 or 1000 ml of saline solution and given slowly through the intravenous route 16-times within 6 months. The study examined whether the safety profile and benefits of daratumumab reported in Indian patients were similar to those reported in the RRMM populations of other countries. The study found that most of the adverse events were not severe and could be easily treated by the study physician. 16 patients died (one might have been due to daratumumab treatment). Daratumumab treatment provided life support and recovery benefits to many patients. Daratumumab single therapy provides an appropriate and acceptable safety profile with no new adverse events and consistent benefits in RRMM patients. Clinical Trial Registration: NCT03768960 (ClinicalTrials.gov), CTRI/2019/06/019546.

Delayed Recurrence of Gall Bladder Cancer as Port-site Metastases with Occult Primary Detected on Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography: A Tale of Two Cases.

Laparoscopic cholecystectomy is a fairly common procedure and is currently considered the gold standard for cholecystectomy. However, the laparoscopic procedure in the presence of gall bladder cancer (GBC) is associated with the risk of port-site metastasis (PSM). Furthermore, in few cases, GBC remains occult even on postoperative histopathology and presents with PSM remotely. Here, we describe two such cases of GBC with occult primary who presented with PSM and also defined the role of fluorine-18 fluorodeoxyglucose positron emission tomography-computed tomography in the management of such cases.

Evaluation of chitosan-Ag/TiO2 nanocomposite for the enhancement of shelf life of chili and banana fruits.

Post-harvest losses of fruits and vegetables account for a large share of food waste in the world due to improper handling and packaging. By using the sol-gel method, Ag/TiO2 nanocomposite was prepared in this study from micro-sized commercial TiO2 powder and incorporated in a chitosan-cellulose matrix for the purpose of promising food packaging. The particle size and distribution of Ag nanoparticles (9.2437 nm size) confirmed their successful inclusion in the TiO2 surface. The morphology of the package assured the successful and uniform disbursement of Ag/TiO2 nanocomposite into the chitosan-cellulose matrix, which led to enhanced water resistance and photocatalytic activity. The developed package is proficient in hindering the growth of fecal coliform bacteria (Esche (Escherichia coli) by 9 mm in the agar plate. Moreover, the efficient application of chitosan-Ag/TiO2 nanocomposite in food coating and packaging was examined in extending shelf life, minimizing water loss, and preventing microbial infection during the storage of chili (up to 7 days at 37 °C) and banana, respectively. It can be concluded from the results that chitosan-Ag/TiO2 nanocomposite-based food coating and packaging have competent potential for enhancing the shelf life of moist foods.

Case report on meningoenceplapathy in an Indian patient post CoViD vaccination.

The SARS-COV-2 infection-related severe illness is prevented by vaccinations. Therefore, it is relevant to report a case of post vaccine meningoencephalitis in a 30 year old male Indian patient, who presented with weakness in all the extremities, episodes of loose stool, fever, vomiting, tachypnea and loss of consciousness immediately following the 2nd dose of the COVID vaccination (COVAXIN).

pH-tunable phosphorescence and light harvesting in cucurbit[8]uril host-guest assemblies.

Host-guest assemblies of halo-phenyl pyridine derivatives and cucurbit[8]uril (CB[8]) exhibited pH-responsive room temperature phosphorescence (RTP) in aqueous media. Moreover, they acted as efficient light-harvesting systems demonstrating triplet-singlet energy transfer to various acceptor dyes.

Factors influencing contribution of geriatric persons in the society: A glance from a rural area of West Bengal.

Background: To facilitate healthy aging in India, it is important not only to acknowledge older people's contribution but also to understand their perception regarding their impact in the society along with society's attitude toward them. Objectives: This study aims to assess their self-perceived contribution in the society and the factors related with their contribution. Methods: It was an observational, descriptive, cross-sectional study, conducted at Amdanga block of North 24 Parganas district, West Bengal, during July 2021-June 2022. A total 0f 384 geriatrics were interviewed by the house-to-house survey with the help of a predesigned, pretested and semi-structured schedule. Potential predictors of contribution were investigated using the multivariate logistic regression model. Results: 78.9% of participants had contribution in the society. 85.9% were taking care of family members when they were sick. 93.2% were sharing their opinion with the family members. 86.5% were participating in various social works. 79.1% were suffering from at least one physical health problem. With increase in the number of health problems, chances of good contribution decreases. In case of self-perceived contribution in the society family type, employment, physical health and social participation are influencing the most. Conclusion: Elderly people are taking care of not only family members, but even relatives and neighbors also. They are sharing their knowledge and experience with family members and in the society. They are also contributing financially. Employment and proper health-care infrastructure for geriatric may be helpful to maximize their contribution.

Kaempferol with Verapamil impeded panoramic chemoevasion pathways in breast cancer through ROS overproduction and disruption of lysosomal biogenesis.

BACKGROUND: Reactive oxygen species (ROS) at low level promotes cell survival through lysosome induced autophagy induction. Glucose stress induced acidosis, hypoxia, ROS, upregulates markers related to cancer stemness and multidrug resistance. Also, lysosomal upregulation is proposed to be one of the important indicators of cell survival under ROS induced stress. Studies supported that, stimulation of Lysosome-TFEB-Ca2+ cascade has important role in induction of chemoresistance and survival of cancerous cells. PURPOSE: To observe the effect of synergistic drug combination, Kaempferol and Verapamil on markers regulating chemoevasion, tumor stemness & acidosis as well as lysosome upregulation pathways, under low as well as high glucose conditions. HYPOTHESIS: Based on our earlier observation as well as previous reports, we hypothesized, our drug combination Kaempferol with Verapamil could attenuate markers related to chemoevasion, tumor stemness & acidosis as well as lysosome-TFEB-Ca2+ pathway, all of which have indispensable association and role in chemoresistance. METHODS: RNA and protein expression of candidate genes, along with ROS production and Ca2+ concentrations were measured in ex vivo models in altered glucose conditions upon treatment with KV. Also, computational approaches were utilized to hypothesize the mechanism of action of the drug combination. PCR, IHC, western blotting and molecular docking approaches were used in this study. RESULTS: The overproduction of ROS by our candidate drugs KV, downregulated the chemoresistance and tumor acidosis markers along with ATP1B1 and resulted in lysosomal disruption with reduction of Ca2+ release, diminishing TFEB expression under low glucose condition. An anomalous outcome was observed in high glucose conditions. We also observed KV promoted the overproduction of ROS levels thereby inducing autophagy-mediated cell death through the upregulation of LC3-II and p62 in low glucose conditions. The ex vivo studies also corroborate with in silico study that exhibited the parallel outcome. CONCLUSION: Our ex-vivo and in-silico studies revealed that our candidate drug combination KV, could effectively target several pathways regulating chemoresistance, that were not hitherto studied in the same experimental setup and thus may be endorsed for therapeutic purposes.

Communicable disease pandemic: a simulation model based on community transmission and social distancing.

Communicable disease pandemic is a severe disease outbreak all over the countries and continents. Swine Flu, HIV/AIDS, corona virus disease-19 (COVID-19), etc., are some of the global pandemics in the world. The major cause of becoming pandemic is community transmission and lack of social distancing. Recently, COVID-19 is such a largest outbreak all over the world. This disease is a communicable disease which is spreading fastly due to community transmission, where the affected people in the community affect the heathy people in the community. Government is taking precautions by imposing social distancing in the countries or state to control the impact of COVID-19. Social distancing can reduce the community transmission of COVID-19 by reducing the number of infected persons in an area. This is performed by staying at home and maintaining social distance with people. It reduces the density of people in an area by which it is difficult for the virus to spread from one person to other. In this work, the community transmission is presented using simulations. It shows how an infected person affects the healthy persons in an area. Simulations also show how social distancing can control the spread of COVID-19. The simulation is performed in GNU Octave programming platform by considering number of infected persons and number of healthy persons as parameters. Results show that using the social distancing the number of infected persons can be reduced and heathy persons can be increased. Therefore, from the analysis it is concluded that social distancing will be a better solution of prevention from community transmission.

Comparison of Ultrasound-Guided Anterior, Posterior and Combination of Quadratus Lumborum Block in Laparoscopic Abdominal Surgeries: A Pilot Study.

BACKGROUND: The quadratus lumborum block (QLB) is an effective technique to provide analgesia for upper and lower abdominal surgeries. There are various approaches described in the literature, but the best approach is still to be explored. This study aims to compare the analgesic efficacy of three different approaches of QLBs. METHODS: Sixty-five patients, aged 18-70 years posted for elective laparoscopic abdominal surgery under general anesthesia were enrolled after taking written informed consent. QLB was given using bupivacaine 0.25% 40 mL with injection dexmedetomidine 1 mcg/kg in all the groups. In Group 1 and Group 2, the drug was injected into the anterior and posterior aspects of the muscle respectively. In Group 3, a combination of the anterior-posterior approach was used. Pain scores at various intervals along with analgesic consumption and complications were observed. RESULTS: The demographic variables, hemodynamic parameters, and complications were comparable among the three groups. There were statistically significant differences between treatment groups in fentanyl requirement as assessed using the Kruskal-Wallis test (P = 0.012). Pairwise post-hoc analysis between block groups showed that the differences between Group 1 & Group 2 and Group 2 & Group 3 were significant (P = 0.0098 and P = 0.013). The tramadol requirement was comparable in all the groups (P = 0.75). Patient satisfaction was significantly higher in Group 3 compared to other groups (P = 0.024). CONCLUSION: Further studies can be planned to evaluate the best approach for QLB in terms of perioperative analgesia, which remains a dilemma in this pilot study. The anterior, posterior, and combined anterior-posterior QLB approaches appear equally efficacious as a component of multimodal analgesia in laparoscopic abdominal surgeries.

A Novel CNN-LSTM Hybrid Model for Prediction of Electro-Mechanical Impedance Signal Based Bond Strength Monitoring.

The recent application of deep learning for structural health monitoring systems for damage detection has potential for improvised structure performance and maintenance for long term durability, and reliable strength. Advancements in electro-mechanical impedance (EMI) techniques have sparked attention among researchers to develop novel monitoring techniques for structural monitoring and evaluation. This study aims to determine the performance of EMI techniques using a piezo sensor to monitor the development of bond strength in reinforced concrete through a pull-out test. The concrete cylindrical samples with embedded steel bars were prepared, cured for 28 days, and a pull-out test was performed to measure the interfacial bond between them. The piezo coupled signatures were obtained for the PZT patch bonded to the steel bar. The damage qualification is performed through the statistical indices, i.e., root-mean-square deviation (RMSD) and correlation coefficient deviation metric (CCDM), were obtained for different displacements recorded for axial pull. Furthermore, this study utilizes a novel Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM)-based hybrid model, an effective regression model to predict the EMI signatures. These results emphasize the efficiency and potential application of the deep learning-based hybrid model in predicting EMI-based structural signatures. The findings of this study have several implications for structural health diagnosis using a deep learning-based model for monitoring and conservation of building heritage.

Genome-wide association study reveals novel genomic regions governing agronomic and grain quality traits and superior allelic combinations for Basmati rice improvement.

Background: Basmati is a speciality segment in the rice genepool characterised by explicit grain quality. For the want of suitable populations, genome-wide association study (GWAS) in Basmati rice has not been attempted. Materials: To address this gap, we have performed a GWAS on a panel of 172 elite Basmati multiparent population comprising of potential restorers and maintainers. Phenotypic data was generated for various agronomic and grain quality traits across seven different environments during two consecutive crop seasons. Based on the observed phenotypic variation, three agronomic traits namely, days to fifty per cent flowering, plant height and panicle length, and three grain quality traits namely, kernel length before cooking, length breadth ratio and kernel length after cooking were subjected to GWAS. Genotyped with 80K SNP array, the population was subjected to principal component analysis to stratify the underlying substructure and subjected to the association analysis using Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway (BLINK) model. Results: We identified 32 unique MTAs including 11 robust MTAs for the agronomic traits and 25 unique MTAs including two robust MTAs for the grain quality traits. Six out of 13 robust MTAs were novel. By genome annotation, six candidate genes associated with the robust MTAs were identified. Further analysis of the allelic combinations of the robust MTAs enabled the identification of superior allelic combinations in the population. This information was utilized in selecting 77 elite Basmati rice genotypes from the panel. Conclusion: This is the first ever GWAS study in Basmati rice which could generate valuable information usable for further breeding through marker assisted selection, including enhancing of heterosis.

Response Guided Slow Infusion of Albumin, Vasoconstrictors and Furosemide Improves Ascites Mobilization and Survival in Acute on Chronic Liver Failure: A Proof-of-Concept Study.

Background and Aims: Acute-on-chronic liver failure (ACLF) with increasing organ failure is associated with poor outcomes. Severely deranged systemic hemodynamics and decreased effective arterial blood volume contribute to tissue damage and organ failure. Response-guided therapy with albumin, vasoconstrictors, and furosemide may help overcome effective hypovolemia, improve diuresis and impact survival. Methods: In the observation cohort, 230 patients with ACLF (CANONIC criteria) with ascites (≥Grade II) and ACLF ≥Grade I were enrolled. A total of 136 patients (GROUP I) received response-guided (urine sodium >80mmol/day) slow albumin-furosemide infusion ±â€…terlipressin (SAFI ± T), while 94 patients (GROUP II) received standard medical therapy. Twenty-eight-day survival, ascites mobilization (nil or grade 1), and adverse events were noted. In another mechanistic cohort (n = 40), laboratory evidences for improvement in various pathophysiological alterations; gut permeability, endotoxemia, cytokine storm, neutrophil dysfunction, and hemodynamic alterations following SAFI ± T/Noradrenaline (NAdr) were evaluated. Results: Age, gender, CLIF-C-ACLF, SOFA and MELD scores, ACLF grades and urine sodium were not different between the two groups in the observation cohort. Ascites was mobilized in 102/136 in GROUP I (SAFI ± T) and 23/94 in GROUP II (p < 0.05). Twenty-eight-day survival was significantly higher in GROUP I = 103/136 (75.7%) vs GROUP II = 50/94 (53.2%), (P = <0.001). All those who were unable to reach urine sodium >80 mmol/day died. Four patients in GROUP I developed scrotal gangrene. In the mechanistic cohort, 72% of patients survived with significant improvement in gut permeability, endotoxemia, serum cytokines, neutrophil dysfunction, and hemodynamic alterations. Conclusion: Ascitic fluid mobilization by response-guided SAFI ± T/NAdr therapy improves survival by improving splanchnic and systemic hemodynamics, decreasing gut congestion, gut permeability, and endotoxemia, improving neutrophil functions, and reducing pro-inflammatory cytokines in circulation.

Interplay of gut microbiome, fatty acids, and the endocannabinoid system in regulating development, progression, immunomodulation, and chemoresistance of cancer.

The roles of gut microorganisms in cancer are diverse. Studies on metagenomics and bioinformatics have documented diverse microbial etiology in different tumors. Evidence supports that a commensal microbiome could provide a promising strategy to treat and prevent cancer through interference in several biologic processes, such as host cell survival and death, host immune function, inflammation, oncogenic signaling, and several hormone receptor signaling and detoxification pathways. The cumulative evidence recommends that metabolites of commensal gut microorganisms (e.g., short-chain fatty acids, omega-3 and -6 fatty acids) play an important role in cancer prevention, with a robust antiproliferative effect of omega-3 fatty acids. Intriguingly, the endocannabinoid system (omega-3 and -6 fatty acid-derived neurotransmitter of the body) shows diverse effects on cancer prevention and oncogenesis depending on the context of the tumor microenvironment. Thus, an interplay of gut microorganisms with their fatty acid metabolites and the endocannabinoid system play an important role in the development, progression, immunomodulation, and chemoresistance of cancer. In this review, we highlight aspects of the current knowledge of and interactions between the microbiome with fatty acids and the host endocannabinoid system. We also document their effect on host immunomodulation and chemoresistance, and discuss how these insights might translate into future development of microbiome-targeted therapeutic interventions.

A novel service robot assignment approach for COVID-19 infected patients: a case of medical data driven decision making.

Coronavirus Disease-19 (COVID-19) is a major concern for the entire world in the current era. Coronavirus is a very dangerous infectious virus that spreads rapidly from person to person. It spreads in exponential manner on a global scale. It affects the doctors, nurse and other COVID-19 warriors those who are actively involved for the treatment of COVID-19 infected (CI) patients. So, it is very much essential to focus on automation and artificial intelligence (AI) in different hospitals for the treatment of such infected patients and all should be very much careful to break the chain of spreading this novel virus. In this paper, a novel patient service robots (PSRs) assignment framework and a priority based (PB) method using fuzzy rule based (FRB) approach is proposed for the assignment of PSRs for CI patients in hospitals in order to provide safety to the COVID-19 warriors as well as to the CI infected patients. This novel approach is mainly focused on lowering the active involvement of COVID-19 warriors for the treatment of high asymptotic COVID-19 infected (HACI) patients for handling this tough situation. In this work, we have focused on HACI and low asymptotic COVID-19 infected (LACI) patients. Higher priority is given to HACI patients as compared to LACI patients to handle this critical situation in order to increase the survival probability of these patients. The proposed method deals with situations that practically arise during the assignment of PSRs for the treatment of such patients. The simulation of the work is carried out using MATLAB R2015b.