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By:

Quaid Najmi

4 January 2025 at 3:26:24 pm

Mumbai local train murder stuns commuters

Mumbai: A routine commute to home on a dark rain-soaked night in a Mumbai local turned into a nightmare when a 22-year-old commuter was allegedly stabbed to death inside a first-class compartment following a heated argument over shutting the train door, late on Tuesday. The victim, identified as Mayank Lohar, 22, worked as a salesman with a private company in Andheri and lived in Virar, nearly 60 km from Churchgate. According to Western Railway (WR) and Government Railway Police (GRP)...

Mumbai local train murder stuns commuters

Mumbai: A routine commute to home on a dark rain-soaked night in a Mumbai local turned into a nightmare when a 22-year-old commuter was allegedly stabbed to death inside a first-class compartment following a heated argument over shutting the train door, late on Tuesday. The victim, identified as Mayank Lohar, 22, worked as a salesman with a private company in Andheri and lived in Virar, nearly 60 km from Churchgate. According to Western Railway (WR) and Government Railway Police (GRP) officials, the shocking incident took place aboard the Churchgate-Nalasopara Fast Local (Train No. 90663), which left Churchgate at 10.05 pm and reached Andheri at 10.42 pm. As the train pulled out of Andheri, heavy rains started lashing the city. Lohar reportedly requested a fellow commuter standing near the doorway to shut the door, as rainwater was blowing into the compartment and inconveniencing those seated inside. The other commuter, wearing a dark shirt and trousers, allegedly refused and it started a heated verbal exchange which quickly escalated into a raging argument as the train raced through Goregaon and Malad. Then, in a horrifying burst of violence, the suspect allegedly pulled out a knife and repeatedly stabbed Lohar in the abdomen and chest as the train zoomed past Kandivali. Stunned Silence The other terrified commuters watched in stunned silence as the attack unfolded and ended within a matter of minutes claiming the young boy. Writhing in pain and bleeding profusely, Lohar collapsed onto the compartment floor as panic gripped the passengers and they scrambled away from the attacker, who reportedly continued to pace about menacingly. Eyewitnesses later said that as the train slowed while entering Borivali station’s Platform No. 6, the suspect calmly jumped off, ran up the staircase and vanished into the wet darkness. When the train halted at Borivali at 11.04 pm, the other commuters immediately alerted railway authorities. WR, GRP and medical personnel rushed to the platform within minutes with emergency equipment, medicos, porters and a stretcher. Lohar was first rushed to the station’s Emergency Medical Room, where a doctor examined him and declared him dead. His body was later shifted to Dr Babasaheb Ambedkar Shatabdi Hospital in Kandivali for post-mortem and other legal formalities. Special Teams The brutal killing sent shockwaves across Mumbai’s suburban rail network. In the morning, Borivali GRP Senior Police Inspector Datta Khuperkar said seven special teams were formed and nearly 400 CCTV camera feeds were scrutinised to trace the suspect. The attacker was captured on multiple surveillance cameras, cool and casual, without a hint of remorse, walking out of Borivali station after the attack. Following an intensive 14-hour manhunt, he was tracked down and arrested at Panvel in Raigad. The Borivali GRP has registered a murder case and launched a detailed investigation. As news of the shocking crime spread amid Wednesday’s torrential rains, commuters expressed outrage and disbelief that a trivial dispute over closing a train door could culminate in such a savage killing. Pall of gloom in Virar Early Wednesday morning, the Lohar family of Virar was devastated on learning about the horrifying killing of their favourite child, Mayank in a train altercation. His parents, three brothers and a sister could barely speak, with his wailing mother demanding “he must be hanged”. Consoling each other, one sister lamented how he was a quiet boy, rarely stepped out of the house without any reason and had his entire life before him that was snuffed out. Venting their ire, they asked “where was the police, why the other commuters didn’t help him” and warned that today it was their son, “next it can be anybody’s son”. The massive dragnet Barely hours after the brutal killing of Mayank Lohar, the Borivali GRP launched one of the biggest manhunts to track and apprehend the suspected killer from Panvel in Raigad district. He was later identified as one Roshan Suvarna, 30, of Mira Road, running a barcode business, informed Borivali GRP Senior Police Inspector Datta Khuperkar. “We formed seven teams with around 10 police personnel supervised by 15 officers. They scanned footage from over 400 CCTVs to trace the regular movements of the accused. The GRP stations of Borivali, Andheri, Mira Road and Nalasopara were involved in the search. We deployed tech-intel to scour his mobile and with help of our network of informers, finally caught him in Panvel,” a weary but victorious Khuperkar told ‘The Perfect Voice’. He added that after completing the legal and medical formalities, he will be produced before a Borivali Court for remand.

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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