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By:

Quaid Najmi

4 January 2025 at 3:26:24 pm

Plea in HC for fresh polls, new body

Dr. Rumi F. Beramji Mumbai : A senior medical practitioner has knocked on the doors of the Bombay High Court, alleging serious irregularities in the functioning of the Maharashtra Council of Acupuncture (MCA) and challenging the continuation of its current Administrator.   In a petition filed through Advocate Sharad V. Natu, Dr. Laxman Bhimrao Sawant has termed the appointment and prolonged tenure of former MCA Chairman as “illegal and arbitrary,”  and detrimental to the cause of Acupuncture....

Plea in HC for fresh polls, new body

Dr. Rumi F. Beramji Mumbai : A senior medical practitioner has knocked on the doors of the Bombay High Court, alleging serious irregularities in the functioning of the Maharashtra Council of Acupuncture (MCA) and challenging the continuation of its current Administrator.   In a petition filed through Advocate Sharad V. Natu, Dr. Laxman Bhimrao Sawant has termed the appointment and prolonged tenure of former MCA Chairman as “illegal and arbitrary,”  and detrimental to the cause of Acupuncture.   Dr. Beramji, who headed the five-member statutory body 's inaugural term (from May 2018 to May 2023), was subsequently appointed as its Administrator after the council’s term expired.   According to Dr. Sawant’s plea, the Administrator’s appointment was initially meant to be a stop-gap arrangement for one year, and it was ‘extended’ later. However, nearly three years later, the position continues without fresh elections being conducted, raising questions over adherence to statutory norms and principles of governance.   Dr. Sawant has further contended that while Dr. Beramji was installed as Administrator, the remaining members of the council were effectively superseded, leaving the regulatory body without its mandated collective structure, and over 6500-members directionless.   The petition claims that the delay in conducting elections was justified on the grounds of an incomplete voter list, but this reason was flimsy considering the extended time lapse.   The petition, likely to come up for hearing on Tuesday (April 21), also levelled serious allegations regarding the manner in which the MCA has been run under the Administrator. It claims decisions have been taken unilaterally, whimsically and without transparency or institutional accountability.   Besides, Dr. Sawant has made allegations of selective targeting of certain members who have attempted to raise valid issues, including the globally-renowned noted acupuncture expert Dr. P. B. Lohiya of Chhatrapati Sambhajinagar.   Adding to the controversy, a former MCA office-bearer has claimed that over the past three years, approvals were granted to more than a dozen acupuncture colleges in undue haste, purportedly in violation of prescribed norms and alleged shady deals.   These institutions, it is claimed, either exist only on paper or lack essential infrastructure, faculty, and facilities. In addition, around two dozen Continuous Acupuncture Education (CAE) centres were also cleared during this period.   In his multiple prayers to the high court, Dr. Sawant has sought quashing Dr. Beramji’s appointment as MCA Administrator and setting aside all policy decisions taken during his tenure in that capacity in the last three years.   The petition also urged the court to direct the state government to conduct elections to elect and reconstitute a new five-member MCA within two months.   Pending this, the plea seeks an order restraining the Administrator from continuing in office or interfering in the functioning of the MCA or the CAEs in the interest of free and fair elections or the cause of Acupuncture.   Sources within the MCA have described the situation as “deeply concerning,” alleging that individuals of international standing, such as Dr. Lohiya - who has treated prominent personalities like Sachin Tendulkar, the late Manoj Kumar, state and central ministers and other public figures - are being unfairly hounded.   The petition has called for a comprehensive review of all decisions taken during the Administrator’s tenure, a financial audit of the MCA’s financial affairs, and an independent probe by the Medical Education & Drugs Department (MEDD) into the approvals granted to the institutions in recent years.   Despite repeated attempts by  ‘ The Perfect Voice’ , top MCA officials like the Administrator or the Registrar Narayan Nawale, were not available for their comments.

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

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