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By:

Prithvi Asthana

20 August 2025 at 5:20:30 pm

Employee says the fire alarm did not go off

Many officials could not use fire extinguishers Mumbai: In a tragic incident a large fire broke out in the basement of Aaykar Bhavan, the Income Tax office located on Maharshi Karve Road at Churchgate in Mumbai on Monday. According to the sources, the fire broke out at 1:30 pm, but the Mumbai Fire Brigade received the initial call at 2:01 pm and officially declared it as Level-I fire around 2:15 pm. No casualties were reported in the incident and all the employees were rescued from the...

Employee says the fire alarm did not go off

Many officials could not use fire extinguishers Mumbai: In a tragic incident a large fire broke out in the basement of Aaykar Bhavan, the Income Tax office located on Maharshi Karve Road at Churchgate in Mumbai on Monday. According to the sources, the fire broke out at 1:30 pm, but the Mumbai Fire Brigade received the initial call at 2:01 pm and officially declared it as Level-I fire around 2:15 pm. No casualties were reported in the incident and all the employees were rescued from the building. As the building has a centralised air conditioning system and all the windows were closed the smoke from the fire spread rapidly throughout the building. The thick smoke also spread to the surrounding areas pf the building. Around 23 vehicles of the Mumbai Fire Brigade (MFB) were engaged under the intense operation to extinguish the fire from different gates at the building. Backup ambulances police officials, and the BEST staff, were also seen at the site. The MFB deployed a DFO, ADFO, three Senior Station Officers and two Station Officers, along with three fire engines, one CFF, three jet units, one AWTT, one MWT, one WQRV, one TTL and one ALP. Specialised equipment including aerial ladder platform was deployed to evacuate people from the upper floors. Two people, a male and a female were rescued from the Guest House at the seventh floor of the building. Firefighters were successful in rescuing the staff on the lower floors as well. According to an employee, who requested anonymity said, “The fire broke out at 1:30 pm when the staff was having lunch, but the fire alarms did not go off.” “We were not allowed to exit from the main gate,” he added. The employee said, “The fire was confined to the basement and the smoke went up to all the floors of building.” Asked about the loss, the employee said, “As the fire broke out in the godown no person was injured. But the records kept in godown that are mostly old records have been burnt.” When asked about the fire drill protocol, the employee said, “The office staff did not know how to use the extinguishers, a possible reason why the fire’s intensity kept increasing.” Officials did not confirm the cause of the fire and or damage caused in the basement area. The Aaykar Bhavan, Income Tax office is multi-storey government building that serves as a workplace for a large number of Income Tax officials.

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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