Yash Srivastav Srivastav
Publications by Yash Srivastav Srivastav
22 publications found (showing 1-10) • Active 2026-2026
2026
10 publicationsReal-World Efficacy and Safety Profile of Atezolizumab in Indian Patients With PD-L1-Positive Advanced Malignancies: Evaluating the Therapeutic Efficacy of Overexpressing, Re-Engineering the Host Immune Response Against Cancer
Immunotherapy for cancer treatment has proved to be a very useful technique that helps to boost the immune responses of the host against cancer cells. In this study, the effectiveness of atezolizumab is assessed in Programmed Death-Ligand 1(PD-L1) Positive advanced cancers of Indians. This study was performed using a retrospective analysis on the clinical data of 120 patients that received atezolizumab treatment between 2021 and 2025. Patients with advanced solid malignancies such as non-small cell lung carcinoma (NSCLC), hepaticellular carcinoma (HCC), and triple-negative breast cancer (TNBC) were included in this study. The RECIST 1.1 criteria and CTCAE Version 5.0 recommendations were used to assess the response to therapy, progression-free survival, overall survival, and adverse events linked to the immune system, respectively. Kaplan-Meier survival analysis, chi-square testing, and descriptive statistics were all part of the statistical package. The results demonstrated that patients exhibiting elevated levels of PD-L1 had a substantially better chance of surviving. In total, 76.6% of people were able to keep the sickness at bay, whereas only 48.3% responded. Treatment response is strongly correlated with PD-L1 over-expression (χ² = 9.64, p = 0.002). Adverse reactions experienced by subjects in this study were mostly mild-to-moderate. It was concluded in this study that atezolizumab is an effective and safe immunotherapy drug for treating PD-L1-positive malignancies in Indians.
Mpox Virus Variants Clade-I and Clade-II Pathogenesis: Mapping the Genetic Mutations, Impact on Viral Fitness, Efficiency of Human-To-Human Transmission, Epidemiological Surveillance
The mpox virus (MPXV), which is an emergent orthopoxvirus with zoonotic transmission capability, represents a growing public health threat on a global scale due to the recently reported outbreaks in multiple countries after 2022. In view of the rising prevalence of genetically heterogeneous strains, such as Clade I and Clade II, there has been a growing research focus on the molecular aspects of pathogenesis, evolution, transmission, and epidemiology of MPXV clades. The current review focuses on the genome structure, mutations, viral fitness, immune evasiveness, and human-to-human transmission rate associated with MPXV clades. The comparative pathogenicity between the Clade I and Clade II variants is also discussed, with emphasis on the increased virulence and mortality related to Clade I and increased transmissibility of Clade II variants, including Clade IIb. Recent genomic studies have shown that hypermutations caused by the APOBEC3 enzymes, single-nucleotide polymorphism, and adaptive evolution contribute to viral persistence, immune escape, and epidemic spread. Furthermore, the review explains how epidemiologic surveillance efforts, molecular diagnostic tools, genomics techniques, and public health issues related to mpox epidemic response are managed. This information highlights the crucial role of genomics surveillance, timely diagnostics, vaccines, and the One Health approach in future prevention of mpox outbreaks.
Modulating The Epigenetic Clock, Senolytic Therapies for Human Longevity: Age Tissue Regeneration, Synergistic Effect of Nad+ Precursors and Telomerase, Human Age Enhancement
The human aging process can be characterized by progressive cellular degeneration, mitochondria malfunctioning, inflammatory responses, epigenetics modifications, and loss of tissue regenerative ability. The recent progress made in the field of longevity has revealed several promising treatment opportunities for prolonging a healthy lifespan in humans through epigenetics regulation, senolytics application, NAD+ precursors' intake, telomerase activation, and regenerative treatments. This review considers evidence from human studies about the impact of DNA methylation, cell senescence elimination, mitochondria recovery, enhanced immunity, tissue renewal, and cognitive reserve increase in human aging biology. According to findings based on human research, interventions involving senolytic compounds, Nicotinamide Riboside (NR), Nicotinamide Mononucleotide (NMN), and telomerase-linked regenerative treatment have the ability to contribute to improved metabolism, vascular functions, immunological resilience, and cognitive efficiency while reducing inflammatory processes and decreasing the number of senescent cells in a human body. In addition, comprehensive longevity approaches consisting of the mentioned interventions seem to possess combined benefits in terms of human longevity improvement. However, there are certain drawbacks that must be addressed when applying these interventions into clinical practice; namely, small sample sizes used in studies, lack of long-term safety testing, ethical issues, and inadequate biomarkers. Future directions in the research are discussed.
Large Language Models (LLMs) in Hypnosis, Leveraging Machine Learning to Map and Induce Hypnotic Trance States via Real-Time EEG, DORAs, VRH, HRV: Human-Led Hypnosis vs Algorithmically Hypnotherapy for Pain Management
The investigation assessed the potential applications of LLMs, EEG neurofeedback, HRV analysis, DORAS systems, and VRH in the development of AI-powered hypnotherapy solutions for pain therapy. The results proved that AI-based hypnotherapy platforms had higher levels of customization, ability to monitor the states of trance, maintain consistency of sessions, and promote physiological adaptations compared to conventional hypnotherapy approaches based on human hypnotherapists. The quantitative analysis revealed that hypnotherapy sessions assisted by VRH delivered the most effective pain relief outcomes, whereas the EEG and HRV assessments revealed enhanced levels of autonomic relaxation and emotional control in the context of hypnotherapy. The researchers found that despite obvious strengths in terms of scalability, incorporation of neurofeedback, and responsiveness to individual conditions of patients, AI systems lack some qualities inherent to humans such as emotional empathy and rapport building. Overall, it can be concluded that future hypnotherapy systems are more likely to become hybrid human-AI solutions.
Eye spasm/Eye twitching: Mg Supplementation and Stress-Reduction in Treating Eyelid Myokymia, Psychosomatic of Anxiety:Â of Eye Twitching Among High-Stress, Hemifacial Spasm,Blepharospasm
Eyelid twitching and involuntary facial muscle spasms have become common neuromuscular disorders due to stress, anxiety, sleeplessness, prolonged computer usage, exhaustion, and other external factors. The purpose of this review is to discuss various neurophysiological, psychosomatic, environmental, and medical aspects of eye twitching disorders such as eyelid myokymia, hemifacial spasm, and blepharospasm in highly stressed people. Human research demonstrates that chronic stress along with dysfunction in the autonomic nervous system plays an important role in neuromuscular hyperactivity and ocular muscle spasms. Magnesium is discussed in this review as an important nutrient for nerve signaling, muscle relaxation, and neurotransmitter function. Therefore, magnesium intake in combination with stress management methods like meditation, yoga, and sleep may help alleviate the symptoms of eyelid twitches. Neurological complications like hemifacial spasm and blepharospasm generally require the intervention of drugs, neurological procedures like botulinum toxin injection therapy, anticonvulsants, and microvascular decompression surgery. The review also touches upon the effects of prolonged muscular spasm within the eye muscles on emotions, occupation, and quality of life from a psychosocial perspective. While previous human-based studies have shed light on various clinical aspects of the subject, there remain certain issues like small sample size, variation in therapeutic protocols, and absence of longitudinal studies that underscore the need for further clinical research.
Systemic Physiological Reconfiguration During Sex Change Therapy: Somatic Changes in Transgender Men and Women Pre & Post Treatments
The current research study explored the physiological and psychological shifts that take place in the bodies of transgender men and transgender women on undergoing hormone therapy. A quantitative comparative study design was employed involving 120 individuals – 60 transgender men on testosterone therapy and 60 transgender women on estrogen and anti-androgen therapy over a period of one year. The study involved data collection using methods such as anthropometry, hormonal profiling, laboratory testing, cardiovascular examination, and psychosocial measures. The results showed marked physiological transformations in the form of increased muscle mass and elevated hemoglobin content among transgender men, and increased body fat accumulation and breast growth and decreased muscle mass among transgender women. In addition, there were certain effects noted on the metabolism and cardiovascular system as a result of hormone therapy. The psychological effects included better emotional well-being, improved body image and self-esteem, and lower levels of anxiety and depression.
Investigating The Rare Occurrence of Male-Female Conjoined Twinning: Incomplete Embryonic Division with Divergent Sexual Differentiation, Symmetrical Conjoined Twins Opposite Phenotypic Sex
Conjoined twinning is a very rare congenital disorder that results from partial separation during the development of the embryos in cases of monozygotic twins. Male-female symmetrical conjoined twins with an opposite phenotype in relation to their biological sex are an extremely rare developmental abnormality due to the complications involved, from an embryological, genetic, hormonal, clinical, and ethical standpoint. In this review, we discuss the embryological causes of conjoined twinning, sexual differentiation processes, and the potential causes of discordant phenotypical sex development through chromosomal mosaicism, epigenetics, asymmetry of hormone distribution, or receptors. Furthermore, Disorders of Sex Development (DSD), prenatal diagnosis and molecular analyses, psychosocial impacts, surgery, and ethical issues related to sexual discordance among conjoined twins are evaluated. Our current scientific knowledge is limited since such cases are extremely rare.
Cross-Infection Patterns and Urogenital Health Outcomes in Men Partnered with Women Experiencing Infectious Vaginal Discharge: Leucorrhoea Influences Male & Female Sexual Desire
Infectious leucorrhoea is one of the most prevalent diseases of gynecologic nature involving infection of the reproductive system by fungi, bacteria, and parasites. Recurrent vaginal infections may lead to microbial cross-infections between male sex partners, adversely affecting sexual relations and intimate connections in the couple. This paper attempted to examine the problem of cross-infection, the state of urogenital health of men involved in the research, and the effect of infectious leucorrhoea on sexual arousal in both parties. A cross-sectional observational clinical study was carried out among 80 couples undergoing gynecology and urology clinics visits due to complaints of infectious vaginal discharge. Clinical evaluation, microbial investigation, laboratory tests, and questionnaire were used in the process of information collection. The results have shown that C. albicans was the most common pathogen among women in the sample group. Dysuria, balanitis, and penile irritation were found among men involved in the research, suggesting possible cross-infection from women. Sexual desire loss and avoidance behavior were noticed as well. Analysis of statistics indicates that there were highly significant relationships between infections with leucorrhoea, urogenital problems among men, and compromised sexual wellbeing (p
Human-Robot Interaction (HRI) Focus: AI Managing The "Bonding" and Emotional/Sensory Experience of a Robot-Led Pregnancy
Human-Robot Interaction (HRI) has become an essential area that combines AI, robotics, affective computing, and healthcare technologies. This study considers the application of artificial intelligence (AI) in managing emotional connections, multisensory interaction, and psychological support in robot-led pregnancy systems. This article focuses on emotional recognition systems, multisensory communication, biosensors, adaptive robotics, ethical questions, social acceptance issues, and future advancements in maternal healthcare robotics. There is existing evidence suggesting that the use of emotionally intelligent robot systems may help improve maternal mental state, minimize the negative effects of stress and anxiety, increase engagement in healthcare processes, and give individualized assistance during pregnancy. Machine learning (ML) techniques, natural language processing, affective computing, and physiological sensors play a major role in enhancing the emotional intelligence of robotic healthcare technologies. At the same time, there are some difficulties related to the authenticity of emotions, privacy issues, emotional dependence, biased algorithms, and other ethical concerns that restrict their application. Overall, robot-led pregnancy systems demonstrate great potential as maternal healthcare technology solutions.
Evaluation of Transformer-Based Models in Optimizing Invasive and Non-Invasive Brain-Computer Interfaces: Recurrent Neural Networks to Enhance Communication Speed for Locked-In Syndrome Patients
Brain-Computer Interfaces (BCIs) have been proposed as assistive technologies for Locked-In Syndrome (LIS) patients that can facilitate communication based on decoding of neural signals. Traditional BCI systems based on recurrent neural network (RNN) models exhibit certain constraints in terms of decoding accuracy, communication speed, and response latency. The current study aims to assess the effectiveness of transformer-based frameworks in optimizing the efficiency of both invasive and non-invasive BCI systems as compared to classical RNN models. A computational-clinical study design was used which involved participation of 48 LIS or severely paralysed participants. Subjects were grouped in accordance with their involvement in invasive or non-invasive BCI groups, and assessments were conducted during a period of eight weeks of intervention. Neural activity data processing was done with the help of two different approaches, including transformer-based model application and RNN application, assessing communication speed, decoding accuracy, latency, and error rates of both systems. Results suggest that transformer-based neural decoding frameworks proved to be superior to RNNs in terms of all evaluated criteria. Invasive transformer-based BCI demonstrated the best results concerning communication speed, decoding accuracy, lowest latency, and lowest error rates. Non-invasive transformer BCIs also yielded better results than RNN-based BCIs.
